AskBio Asklepios BioPharmaceutical, Inc.
Edinburgh, Midlothian
Bioinformatician II page is loaded Bioinformatician IIremote type: Onsitelocations: Edinburgh, UKtime type: Full timeposted on: Posted 3 Days Agojob requisition id: R25-103AskBio Inc., a wholly owned and independently operated subsidiary of Bayer AG, is a fully integrated gene therapy company dedicated to developing life-saving medicines and changing lives. The company maintains a portfolio of clinical programs across a range of neuromuscular, central nervous system, cardiovascular, and metabolic disease indications with a clinical-stage pipeline that includes investigational therapeutics for congestive heart failure, limb-girdle muscular dystrophy, multiple system atrophy, Parkinson's disease, and Pompe disease. AskBio's gene therapy platform includes Pro10, an industry-leading proprietary cell line manufacturing process, and an extensive array of capsids and promoters. With global headquarters in Research Triangle Park, North Carolina, and European headquarters in Edinburgh, Scotland, the company has generated hundreds of proprietary capsids and promoters, several of which have entered pre-clinical and clinical testing. Our vision: Pioneering science to create transformative molecular medicines. Our mission: Lead innovative science and drive clinical outcomes to transform people's lives. Our principles: Advance innovative science by pushing boundaries. Bring transformative therapeutics to patients in need. Provide an environment for employees to reach their fullest potential. Our values: Be a Pioneer. We are not afraid of the impossible and to innovate to make gene therapies accessible to those in need. Cultivate Collaboration. Strive to be the best teammate, actively listen, openly communicate, and embrace diverse points of view. Embrace Responsibility. We are humbled by the enormity of our mission. We hold a relentless commitment to advance science and clinical outcomes for our patients, families, and caregivers. Raise the Bar. Continuously drive improvements and efficiencies. Seek and provide constructive feedback. Have a bias for learning and action. Act with Uncompromising Integrity. Be honest, transparent, and committed to doing what's right in every situation. Make clear commitments and follow through. Position Summary The Bioinformatician II develops and implements computational methods for analysing proprietary biological data, supporting cross-functional teams with tailored bioinformatics solutions. The selected individual will have expertise in omics data analysis, statistical methods, and scientific programming. The role contributes to innovative computational research in gene therapy, advancing AskBio's platform-enabled product approach.This position is located at our Edinburgh, UK site and will report to the Senior Director, Bioinformatics and Machine Learning. Job Responsibilities Develop and implement computational methods and algorithms for the analysis of proprietary biological data Collaborate with cross-functional international teams to understand data analysis needs and provide tailored bioinformatics solutions Contribute to the design and optimisation of bioinformatics pipelines and workflows to improve data processing and analysis Stay up to date with advancements in bioinformatics, machine learning, and data science, integrating relevant approaches into ongoing work Communicate findings and recommendations effectively to stakeholders, including senior leadership and non-expert audiences Provide mentorship and guidance to junior team members, fostering a culture of collaboration and learning Minimum Requirements PhD in bioinformatics, computational biology, or a related discipline with at least 2 years of postdoctoral or industry experience OR Master's degree in bioinformatics, computational biology, or a related field with at least 8 years of relevant industry or research experience Strong programming skills in Python Experience in statistical analysis of DNA sequence and molecular datasets Proven ability to communicate complex computational analyses to both technical and non-technical audiences Expertise in processing and analysing omic datasets, particularly next-generation sequencing (NGS) data Familiarity with Unix/Linux-based systems and command-line environments Preferred Education, Experience and Skills Experience developing computational methods for biological data analysis Experience working with clinical or translational research data Proficiency in additional data analysis languages (e.g., R, MATLAB) Knowledge of containerisation tools such as Docker Familiarity with integrating multi-omics datasets Experience with workflow management systems such as Snakemake or Nextflow. Knowledge of gene therapy and its bioinformatics challenges Expertise in structural biology, particularly in protein structure modelling, interactions, and computational structural analysis Experience contributing to cross-disciplinary and global research projects Familiarity with version control systems (e.g., Git) and collaborative development practices AskBio Inc. (AskBio) is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State or local laws. All employment decisions are based on valid job related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening by calling us at or sending us an email at . Agencies: Please do not contact any employee at AskBio about this requisition. Any resume submitted by a recruitment agency to any employee at AskBio, through any medium, will be deemed the sole property of AskBio unless the agency was engaged by AskBio Talent Acquisition team to recruit for that position. All agencies must have a prior executed service agreement with AskBio prior to any search engagement. If a candidate who was submitted outside of the AskBio agency process is hired by AskBio, no fee or payment of any kind will be paid to the agency.
Dec 10, 2025
Full time
Bioinformatician II page is loaded Bioinformatician IIremote type: Onsitelocations: Edinburgh, UKtime type: Full timeposted on: Posted 3 Days Agojob requisition id: R25-103AskBio Inc., a wholly owned and independently operated subsidiary of Bayer AG, is a fully integrated gene therapy company dedicated to developing life-saving medicines and changing lives. The company maintains a portfolio of clinical programs across a range of neuromuscular, central nervous system, cardiovascular, and metabolic disease indications with a clinical-stage pipeline that includes investigational therapeutics for congestive heart failure, limb-girdle muscular dystrophy, multiple system atrophy, Parkinson's disease, and Pompe disease. AskBio's gene therapy platform includes Pro10, an industry-leading proprietary cell line manufacturing process, and an extensive array of capsids and promoters. With global headquarters in Research Triangle Park, North Carolina, and European headquarters in Edinburgh, Scotland, the company has generated hundreds of proprietary capsids and promoters, several of which have entered pre-clinical and clinical testing. Our vision: Pioneering science to create transformative molecular medicines. Our mission: Lead innovative science and drive clinical outcomes to transform people's lives. Our principles: Advance innovative science by pushing boundaries. Bring transformative therapeutics to patients in need. Provide an environment for employees to reach their fullest potential. Our values: Be a Pioneer. We are not afraid of the impossible and to innovate to make gene therapies accessible to those in need. Cultivate Collaboration. Strive to be the best teammate, actively listen, openly communicate, and embrace diverse points of view. Embrace Responsibility. We are humbled by the enormity of our mission. We hold a relentless commitment to advance science and clinical outcomes for our patients, families, and caregivers. Raise the Bar. Continuously drive improvements and efficiencies. Seek and provide constructive feedback. Have a bias for learning and action. Act with Uncompromising Integrity. Be honest, transparent, and committed to doing what's right in every situation. Make clear commitments and follow through. Position Summary The Bioinformatician II develops and implements computational methods for analysing proprietary biological data, supporting cross-functional teams with tailored bioinformatics solutions. The selected individual will have expertise in omics data analysis, statistical methods, and scientific programming. The role contributes to innovative computational research in gene therapy, advancing AskBio's platform-enabled product approach.This position is located at our Edinburgh, UK site and will report to the Senior Director, Bioinformatics and Machine Learning. Job Responsibilities Develop and implement computational methods and algorithms for the analysis of proprietary biological data Collaborate with cross-functional international teams to understand data analysis needs and provide tailored bioinformatics solutions Contribute to the design and optimisation of bioinformatics pipelines and workflows to improve data processing and analysis Stay up to date with advancements in bioinformatics, machine learning, and data science, integrating relevant approaches into ongoing work Communicate findings and recommendations effectively to stakeholders, including senior leadership and non-expert audiences Provide mentorship and guidance to junior team members, fostering a culture of collaboration and learning Minimum Requirements PhD in bioinformatics, computational biology, or a related discipline with at least 2 years of postdoctoral or industry experience OR Master's degree in bioinformatics, computational biology, or a related field with at least 8 years of relevant industry or research experience Strong programming skills in Python Experience in statistical analysis of DNA sequence and molecular datasets Proven ability to communicate complex computational analyses to both technical and non-technical audiences Expertise in processing and analysing omic datasets, particularly next-generation sequencing (NGS) data Familiarity with Unix/Linux-based systems and command-line environments Preferred Education, Experience and Skills Experience developing computational methods for biological data analysis Experience working with clinical or translational research data Proficiency in additional data analysis languages (e.g., R, MATLAB) Knowledge of containerisation tools such as Docker Familiarity with integrating multi-omics datasets Experience with workflow management systems such as Snakemake or Nextflow. Knowledge of gene therapy and its bioinformatics challenges Expertise in structural biology, particularly in protein structure modelling, interactions, and computational structural analysis Experience contributing to cross-disciplinary and global research projects Familiarity with version control systems (e.g., Git) and collaborative development practices AskBio Inc. (AskBio) is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State or local laws. All employment decisions are based on valid job related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening by calling us at or sending us an email at . Agencies: Please do not contact any employee at AskBio about this requisition. Any resume submitted by a recruitment agency to any employee at AskBio, through any medium, will be deemed the sole property of AskBio unless the agency was engaged by AskBio Talent Acquisition team to recruit for that position. All agencies must have a prior executed service agreement with AskBio prior to any search engagement. If a candidate who was submitted outside of the AskBio agency process is hired by AskBio, no fee or payment of any kind will be paid to the agency.
We're looking for a Research Analytics Lead (research agency Director / Senior Associate Director level) to lead on the design and implementation of statistical analysis on survey data. This will involve taking end-to-end ownership of analytical projects, with responsibility for all aspects of their completion, including consulting on research briefs, liaising with our Quantitative Research team, developing analysis plans, conducting multivariate statistical analysis, and communicating the results of that analysis with relevant stakeholders. What you'll do: Lead and oversee complex analytics projects using market research data to drive strategic decisions based on comprehensive understanding of Sky's products and services. Implement advanced analytical techniques (e.g., key driver analysis, segmentation, perceptual mapping, price elasticity) to provide deep insights. Collaborate with quant researchers and data team to devise and implement innovative research solutions. Drive projects from inception to delivery, ensuring alignment with business objectives and stakeholder engagement, ensuring effective project management and proactively resolving issues. Present findings up to MD level in a confident and engaging manner, championing the customer viewpoint. Uphold the highest quality standards in accordance with MRS guidelines, setting benchmarks for excellence. What you'll bring: Extensive experience in applying multivariate statistics to survey data, with expertise in designing and analysing Choice Based Conjoint and Menu Based Conjoint projects, including previous employment experience in a market research agency. Working proficiency in conducting analysis using a programming language like R / Python Solid theoretical understanding of commonly used statistical techniques, including significance testing, correlation, regression, correspondence analysis, factor analysis, cluster analysis, etc. Ability to understand business issues, collaborate with stakeholders to comprehend their decisions and opportunities, and translate their business questions into a research/analytics plan. Skilled in creating and presenting insights, summarizing patterns and findings into a compelling narrative, and professionally presenting this to stakeholders. Thrives in a dynamic environment, enjoying innovative and creative work. Enthusiastic about task-focused delivery, fast-paced work, and overcoming challenges. Strong multi-tasking abilities, flexibility, and patience in a fluid setting. Team overview Working as a member of our in-house research team, you'll have the opportunity to overcome the frustration of not being able to see your findings being actioned; you'll get to embed, build and see how your research is driving Sky's believe in better strategy. From TV shows to brands, new product development to marketing strategy, as part of Sky's Consumer Group there is a wealth of variety to encourage innovative research approaches The Rewards: There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences How you'll work: We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your office base: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Dec 10, 2025
Full time
We're looking for a Research Analytics Lead (research agency Director / Senior Associate Director level) to lead on the design and implementation of statistical analysis on survey data. This will involve taking end-to-end ownership of analytical projects, with responsibility for all aspects of their completion, including consulting on research briefs, liaising with our Quantitative Research team, developing analysis plans, conducting multivariate statistical analysis, and communicating the results of that analysis with relevant stakeholders. What you'll do: Lead and oversee complex analytics projects using market research data to drive strategic decisions based on comprehensive understanding of Sky's products and services. Implement advanced analytical techniques (e.g., key driver analysis, segmentation, perceptual mapping, price elasticity) to provide deep insights. Collaborate with quant researchers and data team to devise and implement innovative research solutions. Drive projects from inception to delivery, ensuring alignment with business objectives and stakeholder engagement, ensuring effective project management and proactively resolving issues. Present findings up to MD level in a confident and engaging manner, championing the customer viewpoint. Uphold the highest quality standards in accordance with MRS guidelines, setting benchmarks for excellence. What you'll bring: Extensive experience in applying multivariate statistics to survey data, with expertise in designing and analysing Choice Based Conjoint and Menu Based Conjoint projects, including previous employment experience in a market research agency. Working proficiency in conducting analysis using a programming language like R / Python Solid theoretical understanding of commonly used statistical techniques, including significance testing, correlation, regression, correspondence analysis, factor analysis, cluster analysis, etc. Ability to understand business issues, collaborate with stakeholders to comprehend their decisions and opportunities, and translate their business questions into a research/analytics plan. Skilled in creating and presenting insights, summarizing patterns and findings into a compelling narrative, and professionally presenting this to stakeholders. Thrives in a dynamic environment, enjoying innovative and creative work. Enthusiastic about task-focused delivery, fast-paced work, and overcoming challenges. Strong multi-tasking abilities, flexibility, and patience in a fluid setting. Team overview Working as a member of our in-house research team, you'll have the opportunity to overcome the frustration of not being able to see your findings being actioned; you'll get to embed, build and see how your research is driving Sky's believe in better strategy. From TV shows to brands, new product development to marketing strategy, as part of Sky's Consumer Group there is a wealth of variety to encourage innovative research approaches The Rewards: There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences How you'll work: We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your office base: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We're looking for a Research Analytics Lead (research agency Director / Senior Associate Director level) to lead on the design and implementation of statistical analysis on survey data. This will involve taking end-to-end ownership of analytical projects, with responsibility for all aspects of their completion, including consulting on research briefs, liaising with our Quantitative Research team, developing analysis plans, conducting multivariate statistical analysis, and communicating the results of that analysis with relevant stakeholders. What you'll do: Lead and oversee complex analytics projects using market research data to drive strategic decisions based on comprehensive understanding of Sky's products and services. Implement advanced analytical techniques (e.g., key driver analysis, segmentation, perceptual mapping, price elasticity) to provide deep insights. Collaborate with quant researchers and data team to devise and implement innovative research solutions. Drive projects from inception to delivery, ensuring alignment with business objectives and stakeholder engagement, ensuring effective project management and proactively resolving issues. Present findings up to MD level in a confident and engaging manner, championing the customer viewpoint. Uphold the highest quality standards in accordance with MRS guidelines, setting benchmarks for excellence. What you'll bring: Extensive experience in applying multivariate statistics to survey data, with expertise in designing and analysing Choice Based Conjoint and Menu Based Conjoint projects, including previous employment experience in a market research agency. Working proficiency in conducting analysis using a programming language like R / Python Solid theoretical understanding of commonly used statistical techniques, including significance testing, correlation, regression, correspondence analysis, factor analysis, cluster analysis, etc. Ability to understand business issues, collaborate with stakeholders to comprehend their decisions and opportunities, and translate their business questions into a research/analytics plan. Skilled in creating and presenting insights, summarizing patterns and findings into a compelling narrative, and professionally presenting this to stakeholders. Thrives in a dynamic environment, enjoying innovative and creative work. Enthusiastic about task-focused delivery, fast-paced work, and overcoming challenges. Strong multi-tasking abilities, flexibility, and patience in a fluid setting. Team overview Working as a member of our in-house research team, you'll have the opportunity to overcome the frustration of not being able to see your findings being actioned; you'll get to embed, build and see how your research is driving Sky's believe in better strategy. From TV shows to brands, new product development to marketing strategy, as part of Sky's Consumer Group there is a wealth of variety to encourage innovative research approaches The Rewards: There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences How you'll work: We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your office base: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Dec 10, 2025
Full time
We're looking for a Research Analytics Lead (research agency Director / Senior Associate Director level) to lead on the design and implementation of statistical analysis on survey data. This will involve taking end-to-end ownership of analytical projects, with responsibility for all aspects of their completion, including consulting on research briefs, liaising with our Quantitative Research team, developing analysis plans, conducting multivariate statistical analysis, and communicating the results of that analysis with relevant stakeholders. What you'll do: Lead and oversee complex analytics projects using market research data to drive strategic decisions based on comprehensive understanding of Sky's products and services. Implement advanced analytical techniques (e.g., key driver analysis, segmentation, perceptual mapping, price elasticity) to provide deep insights. Collaborate with quant researchers and data team to devise and implement innovative research solutions. Drive projects from inception to delivery, ensuring alignment with business objectives and stakeholder engagement, ensuring effective project management and proactively resolving issues. Present findings up to MD level in a confident and engaging manner, championing the customer viewpoint. Uphold the highest quality standards in accordance with MRS guidelines, setting benchmarks for excellence. What you'll bring: Extensive experience in applying multivariate statistics to survey data, with expertise in designing and analysing Choice Based Conjoint and Menu Based Conjoint projects, including previous employment experience in a market research agency. Working proficiency in conducting analysis using a programming language like R / Python Solid theoretical understanding of commonly used statistical techniques, including significance testing, correlation, regression, correspondence analysis, factor analysis, cluster analysis, etc. Ability to understand business issues, collaborate with stakeholders to comprehend their decisions and opportunities, and translate their business questions into a research/analytics plan. Skilled in creating and presenting insights, summarizing patterns and findings into a compelling narrative, and professionally presenting this to stakeholders. Thrives in a dynamic environment, enjoying innovative and creative work. Enthusiastic about task-focused delivery, fast-paced work, and overcoming challenges. Strong multi-tasking abilities, flexibility, and patience in a fluid setting. Team overview Working as a member of our in-house research team, you'll have the opportunity to overcome the frustration of not being able to see your findings being actioned; you'll get to embed, build and see how your research is driving Sky's believe in better strategy. From TV shows to brands, new product development to marketing strategy, as part of Sky's Consumer Group there is a wealth of variety to encourage innovative research approaches The Rewards: There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences How you'll work: We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your office base: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Overview Certara accelerates medicines using proprietary biosimulation software, technology, and services to transform traditional drug discovery and development. Its clients include more than 2,000 biopharmaceutical companies, academic institutions and regulatory agencies across 62 countries. We are the largest Clinical Pharmacology & Pharmacometric organization in the world, which enables us to assure that various career pathways are offered which match the ambition and personal interests of our employees! As one of Certara's divisions, we deliver value by integrating advanced simulation approaches into the most crucial drug development deliverables - to inform internal decision-making and strengthen global regulatory submissions. Leveraging our experience in working on thousands of drug development projects on behalf of hundreds of biopharma companies, we bring a track record of success and a broad range of expertise to each assignment. Responsibilities The Associate Director provides leadership for PKPD programming aspects of pharmacokinetics, pharmacodynamics data management by timely completion and high quality of all required deliverables, as well as manages a team of PKPD programmers. Manage and prepare data for state of the art analysis, such as PPK, PKPD, exposure response (efficacy or safety), and C QTc, typically based on CDISC ADaM / SDTM datasets. Manage and prepare data for state of the art NCA analysis, such as ADPC, PP, and ADPP, including the creation of defined packages and reviewer guides. Write, maintain, and develop high quality Programs (R, SAS) to facilitate the construction of analysis datasets. Interact directly with the client on topics around data transfers, dataset specifications, and data queries. Conduct exploratory analyses of PKPD data in support of modeling analyses. Following completion of the project deliverables, you are responsible for the creation of an electronic submission package for future submission to regulatory agencies. Conduct quality control and quality assurance activities on datasets and reports. Initialize or participate in company initiatives to improve the quality and efficiency of the PKPD programming process (IT, methodology, automation, quality). Ensure that work is delivered on time and within budget to achieve business results. Provide training and mentor new hires and junior staff, and help to develop data programming skills and Efficiencies. Coordinate the PKPD programming support for projects and assist Pharmacometricians in finding resources. Qualifications BS, MSc, PhD, PharmD, or equivalent in Pharmaceutical Sciences, Pharmacology, Toxicology, Statistics, Mathematics, or related fields. Minimum 10 years' experience and expertise in PKPD programming and analysis, report writing, and regulatory drug submissions. General knowledge of clinical drug development and demonstrated knowledge of pharmacokinetics and pharmacology. Expertise in PK/PD programming with strong quantitative skills applied to develop PPK, PKPD, ER efficacy, ER safety, and C QTc datasets. Expertise in software used for dataset construction (e.g. R, SAS). Strong track record of working in various therapeutic areas. Familiarity with regulatory requirements and trends with respect to data standards. Advanced user of SAS software (SAS9 Base) with proven experience in life sciences and clinical trials. Familiar in working with CDISC data formats. Experience with the R software platform is a plus. Applies innovative approaches to day to day work. Good project management skills. Accuracy, sense of urgency, and quality, timely delivery. Able to take responsibility for executing deliverables according to internal procedures. Excellent verbal and written communication skills in English. Eager to learn and develop. Informed about current knowledge developments in their area of expertise and actively acquires new skills to keep up to date, demonstrating an interest in continuous improvement. Ability to work in cross functional project teams. Excellent team player and team leader skills. Able to work under minimal supervision and make connections across projects. Experience in supervising teams with a strong preference for supervision of PKPD programmers and/or statistical programmers. Certara bases all employment related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service, or other characteristic protected by law.
Dec 09, 2025
Full time
Overview Certara accelerates medicines using proprietary biosimulation software, technology, and services to transform traditional drug discovery and development. Its clients include more than 2,000 biopharmaceutical companies, academic institutions and regulatory agencies across 62 countries. We are the largest Clinical Pharmacology & Pharmacometric organization in the world, which enables us to assure that various career pathways are offered which match the ambition and personal interests of our employees! As one of Certara's divisions, we deliver value by integrating advanced simulation approaches into the most crucial drug development deliverables - to inform internal decision-making and strengthen global regulatory submissions. Leveraging our experience in working on thousands of drug development projects on behalf of hundreds of biopharma companies, we bring a track record of success and a broad range of expertise to each assignment. Responsibilities The Associate Director provides leadership for PKPD programming aspects of pharmacokinetics, pharmacodynamics data management by timely completion and high quality of all required deliverables, as well as manages a team of PKPD programmers. Manage and prepare data for state of the art analysis, such as PPK, PKPD, exposure response (efficacy or safety), and C QTc, typically based on CDISC ADaM / SDTM datasets. Manage and prepare data for state of the art NCA analysis, such as ADPC, PP, and ADPP, including the creation of defined packages and reviewer guides. Write, maintain, and develop high quality Programs (R, SAS) to facilitate the construction of analysis datasets. Interact directly with the client on topics around data transfers, dataset specifications, and data queries. Conduct exploratory analyses of PKPD data in support of modeling analyses. Following completion of the project deliverables, you are responsible for the creation of an electronic submission package for future submission to regulatory agencies. Conduct quality control and quality assurance activities on datasets and reports. Initialize or participate in company initiatives to improve the quality and efficiency of the PKPD programming process (IT, methodology, automation, quality). Ensure that work is delivered on time and within budget to achieve business results. Provide training and mentor new hires and junior staff, and help to develop data programming skills and Efficiencies. Coordinate the PKPD programming support for projects and assist Pharmacometricians in finding resources. Qualifications BS, MSc, PhD, PharmD, or equivalent in Pharmaceutical Sciences, Pharmacology, Toxicology, Statistics, Mathematics, or related fields. Minimum 10 years' experience and expertise in PKPD programming and analysis, report writing, and regulatory drug submissions. General knowledge of clinical drug development and demonstrated knowledge of pharmacokinetics and pharmacology. Expertise in PK/PD programming with strong quantitative skills applied to develop PPK, PKPD, ER efficacy, ER safety, and C QTc datasets. Expertise in software used for dataset construction (e.g. R, SAS). Strong track record of working in various therapeutic areas. Familiarity with regulatory requirements and trends with respect to data standards. Advanced user of SAS software (SAS9 Base) with proven experience in life sciences and clinical trials. Familiar in working with CDISC data formats. Experience with the R software platform is a plus. Applies innovative approaches to day to day work. Good project management skills. Accuracy, sense of urgency, and quality, timely delivery. Able to take responsibility for executing deliverables according to internal procedures. Excellent verbal and written communication skills in English. Eager to learn and develop. Informed about current knowledge developments in their area of expertise and actively acquires new skills to keep up to date, demonstrating an interest in continuous improvement. Ability to work in cross functional project teams. Excellent team player and team leader skills. Able to work under minimal supervision and make connections across projects. Experience in supervising teams with a strong preference for supervision of PKPD programmers and/or statistical programmers. Certara bases all employment related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service, or other characteristic protected by law.
Business Intelligence Analyst Job Profile Business intelligence analysts are responsible for collating and analysing data to identify patterns and predict future trends, which inform short-term and long-term business decisions. As a business intelligence analyst or business analyst, your duties entail developing methodologies to analyse data, complex data modelling, and reporting to senior management. Your technical ability and sense of business acumen will create valuable insights, which will become the driving forces behind every aspect of the business or organisation - from streamlining services to initiatives to boost sales. Responsibilities As a business intelligence analyst, you will typically be responsible for: Reviewing and improving data collation processes. Assessing the validity and accuracy of data collected. Meeting with external and internal stakeholders to find aspects of the business that could benefit from intelligence analysis. Keeping up to date on laws and policies concerning data collection and processing. Utilising data processing software and researching new software packages. Finding data anomalies and issues with data collection strategies which contribute to the collection of unreliable data. Identifying ways to streamline processes and increase efficiency. Identifying trends in buying patterns, product performance and customer behaviour. Liaising with IT departments regarding data storage systems. The starting salary of a junior business intelligence analyst is £32,419 per year. The average salary of a business intelligence analyst is £46,446 per year. The earning potential of a senior business intelligence analyst is £61,078 per year. Working Hours Business intelligence analysts typically work 37.5 hours per week, from 9 am to 5 pm; however, overtime is occasionally required. Due to the demanding nature of the profession, a certain degree of flexibility is required, and part-time roles aren't commonly available. What to Expect Business intelligence analysts undertake a dynamic set of duties, largely revolving around working with vast volumes of data and extrapolating valuable information. The role can be stressful and challenging. However, it is a rewarding role for the right candidates who feel comfortable handling quantitative data; many business analysts report positively on their work-life balance. You may need to travel between local, regional, and international sites within the organisation. The demand for business intelligence analysts is growing in the UK; over the next decade, it has been forecasted that there will be 284,100 new roles. Competition for analyst roles is high, and they don't typically tend to be entry-level positions. Qualifications Most business intelligence analysts hold a bachelor's degree or higher in business intelligence, data science, business administration, economics, or a relevant computer science field. Many employers indicate a preference towards candidates who have a solid foundation in mathematics and statistics, and some will strongly favour candidates with an MBA in business administration. However, master's degrees aren't always required if the candidate holds professional certifications or sufficient work experience. Ideally, your educational background, in addition to your work experience and sense of business acumen, should prove proficiency in programming and advanced database interrogation. Skills As a business intelligence analyst, you will need: To be proficient in analysing large sets of data to extract meaningful insights. Technical expertise and proficiency in popular database systems, such as Oracle and SQL. Advanced Excel skills, including an ability to use complex formulas. Familiarity with programming languages, business intelligence tools, and data modelling techniques. Confidence in your problem-solving skills. Creative and critical thinking skills to enable you to approach issues with a questioning and logical mind. Strong written and verbal communication skills which allow you to convey complex insights and liaise with stakeholders who may not have a strong technical background. The ability to understand business processes, objectives, and strategies. Time management and resource allocation skills which allow you to effectively manage projects and deadlines. An understanding of data protection laws - especially when handling sensitive information. A willingness to keep up with the latest trends in data analytics and business intelligence technologies. To be comfortable with collaboration and teamwork. The ability to handle sensitive data responsibly and ethically. Work Experience To create a solid foundation for a career in business intelligence, candidates will typically need work experience which hones their data analysis skills, technical proficiency, and business understanding. The common roles used as stepping stones into the industry include data analyst, junior business analyst, database administrator, database developer, market research analyst, IT support analyst, financial analyst, statistical analyst, operations analyst, and reporting analyst roles. As with many technical roles, the career prospects for business intelligence analysts are incredibly promising. There is no shortage of pathways for specialisation and advancement once experience has been gained and skills have been demonstrated. Areas in which BI analysts can specialise include marketing analytics, healthcare analytics, and financial analytics. In addition to progressing into senior, manager, lead and strategic roles, BI analysts can consider careers in data science, business intelligence consultancy, or becoming a business intelligence architect, director of analytics, product manager, or chief data officer. These career paths reflect the increasing importance of data-driven decision-making in business and the diverse opportunities available for people skilled in business intelligence and analytics. Employers Business Intelligence Analysts are employed across a wide range of sectors. Some of the main employers include: Healthcare, including the NHS and private healthcare providers. Financial services, such as insurance companies, investment firms and banks. Telecommunication and technology companies. Government and the public sector. E-commerce companies and large retail brands. Logistical and manufacturing companies. Research and education institutions. Utility companies.
Dec 08, 2025
Full time
Business Intelligence Analyst Job Profile Business intelligence analysts are responsible for collating and analysing data to identify patterns and predict future trends, which inform short-term and long-term business decisions. As a business intelligence analyst or business analyst, your duties entail developing methodologies to analyse data, complex data modelling, and reporting to senior management. Your technical ability and sense of business acumen will create valuable insights, which will become the driving forces behind every aspect of the business or organisation - from streamlining services to initiatives to boost sales. Responsibilities As a business intelligence analyst, you will typically be responsible for: Reviewing and improving data collation processes. Assessing the validity and accuracy of data collected. Meeting with external and internal stakeholders to find aspects of the business that could benefit from intelligence analysis. Keeping up to date on laws and policies concerning data collection and processing. Utilising data processing software and researching new software packages. Finding data anomalies and issues with data collection strategies which contribute to the collection of unreliable data. Identifying ways to streamline processes and increase efficiency. Identifying trends in buying patterns, product performance and customer behaviour. Liaising with IT departments regarding data storage systems. The starting salary of a junior business intelligence analyst is £32,419 per year. The average salary of a business intelligence analyst is £46,446 per year. The earning potential of a senior business intelligence analyst is £61,078 per year. Working Hours Business intelligence analysts typically work 37.5 hours per week, from 9 am to 5 pm; however, overtime is occasionally required. Due to the demanding nature of the profession, a certain degree of flexibility is required, and part-time roles aren't commonly available. What to Expect Business intelligence analysts undertake a dynamic set of duties, largely revolving around working with vast volumes of data and extrapolating valuable information. The role can be stressful and challenging. However, it is a rewarding role for the right candidates who feel comfortable handling quantitative data; many business analysts report positively on their work-life balance. You may need to travel between local, regional, and international sites within the organisation. The demand for business intelligence analysts is growing in the UK; over the next decade, it has been forecasted that there will be 284,100 new roles. Competition for analyst roles is high, and they don't typically tend to be entry-level positions. Qualifications Most business intelligence analysts hold a bachelor's degree or higher in business intelligence, data science, business administration, economics, or a relevant computer science field. Many employers indicate a preference towards candidates who have a solid foundation in mathematics and statistics, and some will strongly favour candidates with an MBA in business administration. However, master's degrees aren't always required if the candidate holds professional certifications or sufficient work experience. Ideally, your educational background, in addition to your work experience and sense of business acumen, should prove proficiency in programming and advanced database interrogation. Skills As a business intelligence analyst, you will need: To be proficient in analysing large sets of data to extract meaningful insights. Technical expertise and proficiency in popular database systems, such as Oracle and SQL. Advanced Excel skills, including an ability to use complex formulas. Familiarity with programming languages, business intelligence tools, and data modelling techniques. Confidence in your problem-solving skills. Creative and critical thinking skills to enable you to approach issues with a questioning and logical mind. Strong written and verbal communication skills which allow you to convey complex insights and liaise with stakeholders who may not have a strong technical background. The ability to understand business processes, objectives, and strategies. Time management and resource allocation skills which allow you to effectively manage projects and deadlines. An understanding of data protection laws - especially when handling sensitive information. A willingness to keep up with the latest trends in data analytics and business intelligence technologies. To be comfortable with collaboration and teamwork. The ability to handle sensitive data responsibly and ethically. Work Experience To create a solid foundation for a career in business intelligence, candidates will typically need work experience which hones their data analysis skills, technical proficiency, and business understanding. The common roles used as stepping stones into the industry include data analyst, junior business analyst, database administrator, database developer, market research analyst, IT support analyst, financial analyst, statistical analyst, operations analyst, and reporting analyst roles. As with many technical roles, the career prospects for business intelligence analysts are incredibly promising. There is no shortage of pathways for specialisation and advancement once experience has been gained and skills have been demonstrated. Areas in which BI analysts can specialise include marketing analytics, healthcare analytics, and financial analytics. In addition to progressing into senior, manager, lead and strategic roles, BI analysts can consider careers in data science, business intelligence consultancy, or becoming a business intelligence architect, director of analytics, product manager, or chief data officer. These career paths reflect the increasing importance of data-driven decision-making in business and the diverse opportunities available for people skilled in business intelligence and analytics. Employers Business Intelligence Analysts are employed across a wide range of sectors. Some of the main employers include: Healthcare, including the NHS and private healthcare providers. Financial services, such as insurance companies, investment firms and banks. Telecommunication and technology companies. Government and the public sector. E-commerce companies and large retail brands. Logistical and manufacturing companies. Research and education institutions. Utility companies.
