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Winter Co-op​/Encoded Technologies - Biophysics

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: GSK Internships & Co-ops powered by Atrium
Full Time, Apprenticeship/Internship position
Listed on 2026-09-14
Job specializations:
  • Research/Development
    Biotech Research, Drug Discovery, Research Scientist, Biomedical Science
Salary/Wage Range or Industry Benchmark: 22 - 43 USD Hourly USD 22.00 43.00 HOUR
Job Description & How to Apply Below

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

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 organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines.

We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

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 place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included.

Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Department Description

The Encoded Technologies (ET) group located in Cambridge, MA uses DNA-encoded libraries (DELs) to identify new chemical matter and small molecules to impact a range of disease areas.

Within ET, the Affinity Selections & Biophysics team focuses on applying DEL technology to proteins of interest, screening for binders, and using biophysical assays to validate small molecule binders. For an overview of DEL selections see:
Clark, M.

A. et al. Design, Synthesis and Selection of DNA-Encoded Small-Molecule Libraries. Nat. Chem. Biol. 2009, 5, 647-654.

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Job Description

We are seeking a highly motivated student or recent graduate for a full-time, six-month co-op position within the ET Affinity Selections & Biophysics group. The focus of this placement will be on the use of biophysical, biochemical, and cell biology techniques (examples in preferred qualifications) to develop new DEL selection and hit confirmation methodologies and accelerate early drug discovery in biologically relevant systems.

As a member of our multi-disciplinary team, you will also gain insight into broader aspects of the DNA-encoded library technology and the early drug discovery process.

Minimum Qualifications
  • Must be pursuing an MS or PhD in biophysics, cell biology, biochemistry, chemical biology, virology, or related disciplines.
  • Must have knowledge and practical understanding of the scientific method and demonstrated experience in experimental design.
  • Must be able to work full-time (35-40 hours/week) throughout the duration of the 6-month assignment (January ~ June 2027).
  • Must have an active student status and/or within 12 months post‑graduation from a BS or MS degree program. Post-doctoral candidates are not eligible.
Preferred Qualifications
  • Hands‑on experience with biophysical techniques (i.e., FACS, alphaLISA, SPR) and biochemical/molecular biology techniques (i.e., PCR, gel electrophoresis).
  • Experience with mammalian cell culture and working with cell lysates.
  • Demonstrated application of FACS with cell/particle sorting.
  • Motivation to tackle biochemical challenges and design new assays.
Eligibility Requirements
  • Must successfully pass a drug screen and background check prior to assignment target start date.
  • Once your application is submitted, you will be prompted to complete our immersive GSK Digital Assessment. A passing score is…
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