GlaxoSmithKline
Senior Principal Scientist, Oligo Design and Data Science
GlaxoSmithKline, Cambridge, Massachusetts, us, 02140
GSK is seeking an exceptional and visionary scientist to join the Oligo Design and Data Science group as a Senior Principal Scientist.
This pivotal role is at the heart of our strategy to accelerate drug discovery by leveraging massive‑scale screening data and machine learning. You will be responsible for architecting and implementing the next generation of our DNA Encoded platforms informatics and leading the data strategy to shape the future of hit‑finding at GSK.
In this position you will lead the design and development of critical software infrastructure, from automated ETL pipelines that process terabyte‑scale sequencing data to sophisticated web applications and interactive dashboards. Your expertise will include developing novel statistical methods for analyzing selection data from small‑molecule and oligonucleotide libraries, building robust machine learning models to predict structure‑activity relationships, and exploring deep learning approaches for hit identification.
You will work in a deeply collaborative, cross‑functional environment with experts in oligo therapeutic design, chemistry, biology and biophysics to translate complex data into actionable hypotheses that guide our therapeutic discovery programs.
Key Responsibilities
Drive data science initiatives to support informed decision‑making in active early‑stage small‑molecule and oligonucleotide discovery projects.
Collaborate with laboratory scientists to build data infrastructure, develop decision‑making heuristics, and implement tracking systems for early discovery oligonucleotide and DEL projects, supporting workflows from initial screening through candidate selection.
Collaborate closely with research tech and AI/ML teams to architect, develop, and optimize predictive informatics platforms that enable scalable data integration, advanced statistical analytics, and actionable insights for therapeutic discovery.
Basic Qualifications
PhD in computational science, bioinformatics, cheminformatics, computer science, or a closely related discipline.
Experience in cheminformatics and DNA‑encoded library (DEL) data analysis, applying advanced statistical and computational methods to large‑scale biological datasets.
Experience developing scientific applications using Python (pandas, scikit‑learn, Django), SQL, and deploying solutions on modern cloud infrastructure.
On‑site presence of 2–3 days per week, as required for team collaboration and project delivery.
Preferred Qualifications
Experience leading platform development initiatives integrating research technology, AI and ML for scalable data analysis and informatics solutions.
Significant contributions to open‑source scientific software projects or recognized achievement in computational life‑science competitions (e.g., Kaggle, TopCoder, DREAM Challenge).
Expertise in designing and optimizing automated ETL pipelines for processing terabyte‑scale sequencing or screening data.
Advanced knowledge of predictive modeling, Bayesian statistics and deep learning approaches for hit identification and structure‑activity relationship prediction.
Demonstrated success in cross‑functional communication, matrixed collaboration and thought leadership within multidisciplinary teams.
Strong analytical and problem‑solving skills, with a track record of translating complex biological questions into actionable computational solutions.
Ability to work collaboratively in cross‑functional teams, communicating effectively with experts in chemistry, biology, biophysics and data science.
Experience analyzing siRNA knockdown screens or CRISPR knockout libraries.
Salary and Benefits
The U.S. annual base salary for new hires in this position ranges from $121,275 to $202,125, depending on location, skills, experience, education level and market rate. In addition, the role offers an annual bonus and eligibility to participate in GSK’s share‑based long‑term incentive program. Benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies for vacancies posted on this site. All employment businesses/agencies must contact GSK’s commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. Without such written authorization actions are deemed to have been performed without consent or contractual agreement. GSK shall not be liable for any fees arising from such actions.
If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1‑877‑694‑7547 (U.S. toll‑free) or +1 801 567 5155 (outside U.S.).
GSK is a global biopharma company united by a purpose to bring science, technology and talent together to get ahead of disease. We aim to positively impact the health of 2.5 billion people by the end of the decade, focusing on respiratory, immunology, oncology, HIV and infectious diseases.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most.
Please note that if you are a U.S. licensed healthcare professional or a healthcare professional as defined by state law, GSK may be required to capture and report expenses on your behalf if you are afforded an interview for employment. For more information, visit https://openpaymentsdata.cms.gov/.
#J-18808-Ljbffr
This pivotal role is at the heart of our strategy to accelerate drug discovery by leveraging massive‑scale screening data and machine learning. You will be responsible for architecting and implementing the next generation of our DNA Encoded platforms informatics and leading the data strategy to shape the future of hit‑finding at GSK.
In this position you will lead the design and development of critical software infrastructure, from automated ETL pipelines that process terabyte‑scale sequencing data to sophisticated web applications and interactive dashboards. Your expertise will include developing novel statistical methods for analyzing selection data from small‑molecule and oligonucleotide libraries, building robust machine learning models to predict structure‑activity relationships, and exploring deep learning approaches for hit identification.
You will work in a deeply collaborative, cross‑functional environment with experts in oligo therapeutic design, chemistry, biology and biophysics to translate complex data into actionable hypotheses that guide our therapeutic discovery programs.
Key Responsibilities
Drive data science initiatives to support informed decision‑making in active early‑stage small‑molecule and oligonucleotide discovery projects.
Collaborate with laboratory scientists to build data infrastructure, develop decision‑making heuristics, and implement tracking systems for early discovery oligonucleotide and DEL projects, supporting workflows from initial screening through candidate selection.
Collaborate closely with research tech and AI/ML teams to architect, develop, and optimize predictive informatics platforms that enable scalable data integration, advanced statistical analytics, and actionable insights for therapeutic discovery.
Basic Qualifications
PhD in computational science, bioinformatics, cheminformatics, computer science, or a closely related discipline.
Experience in cheminformatics and DNA‑encoded library (DEL) data analysis, applying advanced statistical and computational methods to large‑scale biological datasets.
Experience developing scientific applications using Python (pandas, scikit‑learn, Django), SQL, and deploying solutions on modern cloud infrastructure.
On‑site presence of 2–3 days per week, as required for team collaboration and project delivery.
Preferred Qualifications
Experience leading platform development initiatives integrating research technology, AI and ML for scalable data analysis and informatics solutions.
Significant contributions to open‑source scientific software projects or recognized achievement in computational life‑science competitions (e.g., Kaggle, TopCoder, DREAM Challenge).
Expertise in designing and optimizing automated ETL pipelines for processing terabyte‑scale sequencing or screening data.
Advanced knowledge of predictive modeling, Bayesian statistics and deep learning approaches for hit identification and structure‑activity relationship prediction.
Demonstrated success in cross‑functional communication, matrixed collaboration and thought leadership within multidisciplinary teams.
Strong analytical and problem‑solving skills, with a track record of translating complex biological questions into actionable computational solutions.
Ability to work collaboratively in cross‑functional teams, communicating effectively with experts in chemistry, biology, biophysics and data science.
Experience analyzing siRNA knockdown screens or CRISPR knockout libraries.
Salary and Benefits
The U.S. annual base salary for new hires in this position ranges from $121,275 to $202,125, depending on location, skills, experience, education level and market rate. In addition, the role offers an annual bonus and eligibility to participate in GSK’s share‑based long‑term incentive program. Benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies for vacancies posted on this site. All employment businesses/agencies must contact GSK’s commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. Without such written authorization actions are deemed to have been performed without consent or contractual agreement. GSK shall not be liable for any fees arising from such actions.
If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1‑877‑694‑7547 (U.S. toll‑free) or +1 801 567 5155 (outside U.S.).
GSK is a global biopharma company united by a purpose to bring science, technology and talent together to get ahead of disease. We aim to positively impact the health of 2.5 billion people by the end of the decade, focusing on respiratory, immunology, oncology, HIV and infectious diseases.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most.
Please note that if you are a U.S. licensed healthcare professional or a healthcare professional as defined by state law, GSK may be required to capture and report expenses on your behalf if you are afforded an interview for employment. For more information, visit https://openpaymentsdata.cms.gov/.
#J-18808-Ljbffr