Research Scientist, Biomarker Sciences I

Spectraforce Technologies, Inc.; Santa Monica (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Spectraforce Technologies, Inc. is seeking a Research Scientist, Multiple Myeloma - Translational Medicine, in Santa Monica. Hybrid work setup with a focus on biomarker strategy and clinical pharmacology for CAR-T programs in MM.

The role requires an advanced scientific degree with 3+ years in industry, familiarity with regulatory filings, and strong collaboration across translational, clinical, and biometrics teams.

Qualifications

• Advanced degree in biology-related field or equivalent research experience.
• Industry experience in translational medicine and oncology preferred.
• Experience with regulatory filings is highly desirable.
• Familiarity with PK/PD analysis and biomarker studies.

Responsibilities

• Directs PK/PD analyses to support CAR-T clinical pharmacology in MM.
• Act as Biomarker lead on clinical study teams.
• Contributes to protocol design and study activities.
• Coordinates with CROs and method transfer activities.
• Collaborates with Clinical Ops, Regulatory, Biometrics and Data Mgmt.
• Leads responses to regulatory inquiries and data package preparation.
• Supports publications and external scientific communications.

Education

Advanced scientific degree (MD, PharmD, PhD)

Master's Degree

Bachelor's Degree

Job description

Job Title: Research Scientist, Multiple Myeloma - Translational Medicine

Location: Santa Monica, CA 90404 (Hybrid RDMC)

Duration: 12 Months

Schedule: M-F 8:00-17:00

Job Description:

• The Research Scientist will support biomarker and translational strategy for the clinical development of client chimeric antigen receptor (CAR-T) programs in Multiple Myeloma.
• As a member of the Translational Medicine team, you will be at the intersection of Research and Clinical Development, providing valuable insight into the function of CAR-T cells in patients and the development of potential prognostic tools.
• Regulatory filing experience and a demonstrated ability to facilitate clinical trial execution, synthesize scientific data, communicate key findings cross-functional is required.

Key Responsibilities:

• Directs and establishes pharmacokinetic and pharmacodynamic (PK/PD) analysis to support clinical pharmacology for CAR T clinical trials in Multiple Myeloma
• Serves as Biomarker lead on clinical study teams to oversee delivery of pharmacology data and documentation required for pivotal and registrational study filings
• Reviews and contributes to clinical protocol design and study activities
• Identify and establish agreements with contract research organizations (CRO) and support the transfer of novel methods
• Collaborates with Clinical development teams including Clinical Operations, Regulatory, Clinical Data Management and Biometrics/Stats to advance data acquisition and analyses of clinical trial data
• Leads the resolution of clinical pharmacology/translational queries from regulatory agencies, supports writing and reviewing responses to regulatory queries.
• Support the preparation of data packages for publication with medical writers, presentation and/or submission to regulatory agencies
• Collaborates with Translational Medicine, Bioinformatics and Statistical teams for exploratory biomarker correlative studies and deeper analysis of tumor biology and CAR T functionality
• Contribute to external scientific discussions/research collaborations and publications and engagement with key opinion leaders in the field.

Education Level:

• Advanced scientific degree (i.e. MD, PharmD, PhD) and 3+ years in industry

OR

• Master's Degree and 5+ years of scientific experience

OR

• Bachelor's Degree and 7+ years of scientific experience

Experience:

Preferred Qualifications

• Strong background in cancer immunotherapy, immunology and/or oncology with experience focusing on Multiple Myeloma
• Prior experience in Regulatory filings
• In-depth understanding of multiple myeloma, knowledge of clinical landscape, evolving therapy, competitive scenarios
• Strong understanding of clinical, translational, and mechanistic data
• Familiarity and experience with clinical and biomarker operations
• Understanding of early or late-stage drug and translational development process; including clinical trial experience in industry or academia
• Familiarity with bioanalytical assay development and validation in a GxP environment
• Experience working with engineered T cells, immunophenotyping, and NGS-based approaches to profile the function of tumor and immune cells
• Comfortable in a matrixed and fast-paced company environment and able to adapt to changing priorities
• Strong collaboration, excellent interpersonal and communication skills
• Proficient with data presentations to communicate to a diverse cross-functional audience
• Maintain a high degree of accuracy and attention to detail
• Ph.D. degree in biology-related field (immunology, cancer biology, bioinformatics or a closely related field)