Associate Scientist, in vivo Pharmacology

Stylus Medicine; Cambridge (MA); On-site; USD 80,000 - 105,000; Full time

Job summary

Stylus Medicine is seeking a motivated Associate Scientist for its in vivo Pharmacology team. The role involves hands-on experimentation in murine models, supporting the development of genetic medicines, and collaborating on innovative therapeutic advancements. Applicants should have relevant degrees and experience in pharmacology techniques.

Qualifications

• 3+ years of relevant experience with a Master's degree or 5+ years with a Bachelor's degree.
• Hands-on experience with in vivo methods and immune cell handling.
• Strong analytical skills and communication abilities essential.

Responsibilities

• Conduct experiments in murine oncology models and analyze data.
• Prepare samples and ensure compliance with SOPs and protocols.
• Collaborate with teams and maintain laboratory records.

Skills

In vivo pharmacology techniques

Data analysis

Communication

Laboratory record keeping

Team-oriented mindset

Education

Master's degree in Pharmacology, Immunology, or related field

Bachelor's degree with 5+ years of experience

Tools

Flow cytometry

Cytokine analysis

ddPCR

Job description

About Stylus Medicine:

Stylus Medicine is developing transformative in vivo genetic medicines to unlock cures. The company combines engineered recombinases with non-viral delivery methods to encode therapeutics specifically. Their approach is versatile and modular, with potential applications across oncology, autoimmune, genetic diseases, and beyond.

About the Role:

Stylus Medicine is seeking a highly motivated and collaborative Associate Scientist to join our in vivo Pharmacology team. This role involves performing hands-on in vivo studies using murine oncology and non-oncology models, supporting the development of genetic medicines leveraging engineered recombinases delivered through non-viral methods. Reporting to the Senior Scientist of in vivo Pharmacology, the successful candidate will work closely with cross-functional teams and contribute to innovative therapeutic advancements.

Key Responsibilities & Accountabilities:

• Conduct experiments in murine oncology and non-oncology models to evaluate recombinase-based engineering of immune cells, including tumor cell injection/implantation, immune cell and test article dosing, tissue collection, bioimaging, and tissue processing.
• Prepare tumor cells and PBMCs for injections and process samples for downstream analyses.
• Collaborate with in vivo pharmacology team members to execute experiments and coordinate analyses.
• Follow SOPs and IACUC protocols.
• Analyze data, interpret results, and produce study reports to guide project decisions.
• Communicate findings effectively within internal teams.
• Coordinate with external vendors and cross-functional teams to ensure smooth research progression.
• Maintain detailed, accurate laboratory records in line with data integrity standards.
• Work with regulatory and preclinical teams to document non-clinical findings for submissions.

Qualifications and Skills:

• Master's degree in Pharmacology, Immunology, Immuno-oncology, or related field with 3+ years of relevant experience, or Bachelor's degree with 5+ years of experience.
• Hands-on experience in in vivo pharmacology techniques, including mouse handling, surgical procedures, IV injections, tumor model development, and tissue analysis.
• Ability to execute, interpret, and troubleshoot in vivo studies.
• Experience with immune cell handling, tumor cell culturing, and tumor model establishment in mice.
• Familiarity with T cell or PBMC isolation and immunological/molecular assays.
• Experience with delivery technologies like LNP or CART and genetic platforms is a plus.
• Proficiency with ex vivo techniques such as flow cytometry, cytokine analysis, and ddPCR is preferred.
• Ability to work independently, learn new techniques, multitask, and maintain organized records.
• Excellent communication skills and a team-oriented mindset.
• Strong analytical skills with the ability to interpret complex data and provide clear insights.