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Principal Oligo Data Scientist

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: GlaxoSmithKline
Full Time position
Listed on 2026-05-29
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

The oligotherapy principal data scientist role is embedded in and directly supports the Oligo Sciences team whose broad remit is the design, characterization, and early development of oligonucleotide therapies. Oligo data scientists will serve a dual purpose of co-developing a data capture & analysis platform with oligo sciences experts and translating their needs broadly across GSK to build methods/models/capabilities that fulfil them.

Key Responsibilities:

  • Co-design and implement a target tractability system for oligo-guided therapeutic mechanisms such as RNA degradation/interference, and up/down modulation of alternative splicing, poly-adenylation, A>

    I editing, etc.
  • Co-develop a target/complex engagement model that combines target sequence, secondary+ tertiary structure, and oligo chemistry to drive binding assay designs for both high-throughput screening and low-latency optimization.
  • Collaborate effectively with renowned GSK experts in genetics, genomics, computational bio & chem, structural biology and medicinal chemistry, artificial intelligence / machine learning, and digital technologies to build the datasets, tools, models, and infrastructure necessary for oligo design & development.

Why You?

Basic Qualifications:

  • MS degree in computational life science (bio/med/chem/stats/informatics) with at least 1 published work and at least 5 years of industry experience
  • Over 1 year experience with genomic data infrastructure for either public or private collections (e.g. ENCODE, TCGA, Dep Map, GTEx, cell Xgene, UK biobank)
  • Over 1 year experience with Cheminformatic or structural modelling of drug-target binding for small or large molecules validated by real qSAR assays

Preferred Qualifications:

  • PhD degree in computational life science (bio/med/chem/stats/informatics) with at least 1 published work
  • Demonstrated cross-functional communication, matrixed collaboration, both team and thought leadership
  • Performed target identification or tractability/prioritization for RNA-modulating approaches or RNA-targeted modalities

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why Us?

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy.

We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at (US Toll Free) or  (outside US).

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

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