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FSP - Scientist - Formulations, Drug Delivery

Job in South San Francisco, San Mateo County, California, 94080, USA
Listing for: Thermo Fisher Scientific
Full Time position
Listed on 2026-10-08
Job specializations:
  • Research/Development
    Research Scientist, Clinical Research, Data Scientist
  • Healthcare
    Clinical Research, Data Scientist
Salary/Wage Range or Industry Benchmark: 33 USD Hourly USD 33.00 HOUR
Job Description & How to Apply Below

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Laboratory Setting, Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.)

Job Description

This is a fully onsite role based at our customer’s site in
South San Francisco, CA.
We welcome applicants from all locations within the US. Please note that relocation assistance is not provided for this position, and any relocation costs will be the responsibility of the candidate. 

Must be legally authorized to work in the United States without sponsorship.

Must be able to pass a comprehensive background check, which includes a drug screening.

At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies.

With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on – now and in the future.

Thermo Fisher's clinical research business is a leading global contract research organization and world leader in serving science. We are passionate, deliberate, and driven by our mission – to enable our customers to make the world healthier, safer, and cleaner.

Our Laboratories Functional Service Partnership (FSP) team plays a direct role in advancing drug development by creating sustained groups of talent within our customers’ organizations to provide long-term support. Through this collaborative approach, our professionals bring their commitment to excellence, industry knowledge, and operational strength directly into customer environments, helping to enhance capabilities and advance the delivery of life-changing therapies.

As part of our client’s Research and Early Development (gRED) organization, the Synthetic Molecule Pharmaceutics (SMP) department helps the client’s next generation of therapeutics transition from pre-clinical research into clinical development. Our team specializes in synthetic molecules and novel modalities (e.g., nucleic acids, peptides, conjugates) that are given to patients via parenteral routes of administration (e.g., intravenous, subcutaneous, intrathecal, intravitreal). We develop formulations, innovative drug delivery approaches, and manufacturing processes that help bring these novel therapeutics to patients across therapeutic areas.

We are seeking a collaborative, curious, and highly motivated Scientist to support parenteral formulation development and drug delivery in the Synthetic Molecule Pharmaceutics group. In this role, you will work independently to drive research and development efforts for novel oligonucleotide drug products.

Key responsibilities:

  • Formulation Preparation:
    Independently prepare drug products and novel formulations utilizing a variety of different compositions.
  • Analytical Characterization:
    Independently analyze formulations using a diverse suite of analytical techniques (including spectroscopy, rheology, chromatography, calorimetry, light scattering, and physicochemical property measurements) to assess structure, composition, and physicochemical properties.
  • Data Analysis & Experimental Design:
    Review and process experimental data, identify key trends and takeaways, and propose hypothesis-driven…
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