Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Senior Research Associate, Cancer Biology

Job

Stipple Bio

Watertown, MA (In Person)

Full-Time

Posted 3 weeks ago (Updated 2 weeks ago) • Actively hiring

Expires 6/24/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
83
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

About the
Company:
Stipple Bio, Inc. is a private biotechnology company harnessing epitope-level precision to create targeted cancer therapies. We pioneered a Pointillist 'epitomics' discovery platform to unlock tumor-specic epitopes and develop a pipeline of next-generation precision oncology therapeutics with a high therapeutic index. Our lead candidate STP-100, designed to avoid on-target/oM-tumor toxicity, is expected to enter clinical studies in early 2027. Stipple Bio is well capitalized and has announced a $100M Series A nancing which supports the company into 2029. About the
Role:
The Senior Research Associate, Cancer Biology role at Stipple Bio is a BS/MS level scientist position within the Research department, reporting to the Director, Cancer Biology. Based in Cambridge, Massachusetts, this individual will play a critical hands-on role in preclinical research for development of biologic cancer therapeutics including antibodies, ADCs, and TCEs. Critical thinking and ability to derive insights from data are key. The successful candidate will bring a sense of urgency and commitment to help Stipple Bio deliver patient life changing medicines.
Responsibilities:
Design and execute in vitro cancer biology experiments using relevant tumor cell line and primary cell models including mechanistic studies, target expression evaluation, and pathway validation Perform cell-based assays including proliferation/apoptosis/cytotoxicity assays, ow cytometry-based assays, and tumor-immune cell co-cultures and functional assays to assess cancer biology endpoints Collaborate with the Antibody Discovery team to provide cancer biology support for antibody screening, target validation, and functional characterization of therapeutic candidates Support translational research activities including in vivo tumor drug combination studies and indication selection strategies to inform clinical development decisions Analyze and interpret experimental data; maintain accurate and detailed documentation Communicate experimental results at regular team meetings and actively participate in scientific discussion
Qualifications:
Qualifications:
Required:
BS with 4+ years or MS with 2+ year of biotech/pharma industry experience in Molecular Biology, Biochemistry, Cell Biology, Immunology, or a related scientific discipline Strong hands-on experience with mammalian cell culture and ow cytometry Hands-on experience with in vitro tumor model systems Experience with cancer cell biology assays (e.g., internalization, binding, proliferation, apoptosis, cytotoxicity, immune cell co-culture) Solid understanding of molecular biology and cancer signaling (e.g., qPCR, Western blot, pathway analysis) Proficiency in data analysis tools (e.g., FlowJo, GraphPad Prism)
Preferred:
Familiarity with tumor immunology or immuno-oncology concepts and assays Experience with biologic cancer therapeutic modalities (e.g., ADCs, TCEs, or targeted agents) in a cancer biology context Experience supporting antibody discovery workflows, including familiarity with antibody binding assays (e.g., ow cytometry, ELISA, BLI) or internalization studies Working knowledge of CRISPR based methodologies Personal attributes: Team oriented, goal-driven, organized, highly collaborative, open-minded, data-driven, creative, persistent in the face of obstacles and uncertainty, exible, self-aware of strengths and weaknesses, objective in the evaluation of data and strongly optimistic about overcoming challenges.