- Molecular Biology
- Laboratory Experience
- Data Analysis Skills
- Analytical Chemistry
About the Role
As a Senior Research Scientist in Preanalytics, you will lead efforts to characterize the impact of preanalytical variables on Freenome's multiomic tests and establish robust, standardized protocols to improve preanalytical workflows. You will serve as the subject matter expert in blood collection devices and work to deeply understand how each of Freenome's biomarkers can be stably preserved and consistently measured across a range of preanalytical conditions. In this role, you will also contribute to leveraging preanalytical datasets to generate biological insights that directly inform Freenome's biomarker discovery studies and product development efforts. Finally, you will collaborate with the Clinical Development, Lab Operations, and Computational Research teams to ensure that preanalytical considerations are represented in every aspect of Freenome's research platform and product development process.
Design and execute studies to evaluate the impact of preanalytical variables (including blood collection, shipping, and storage conditions) on sample integrity and analyte stability.
Optimize sample collection, transportation, and processing workflows, including selecting blood collection devices, identifying shipping conditions, and developing fractionation protocols.
Apply expert knowledge of analytical chemistry, blood biochemistry, cell biology, and/or molecular biology to refine existing protocols and develop new methods for the isolation and characterization of blood fractions.
Contribute to biomarker discovery efforts by generating large-scale datasets on clinical sample quality for downstream analytical characterization.
Identify, evaluate, and integrate new sample collection, fractionation, and characterization technologies into preanalytical workflows.
Work cross-functionally with Clinical Trial Managers, Clinical Lab Scientists, and Process Engineers to implement best sample handling practices in Freenome's clinical studies.
Partner with Software Engineers to build data infrastructure for preanalytical data generation, ingestion, and processing.
Collaborate with Computational Biologists and Machine Learning Scientists to incorporate preanalytical datasets into data analysis pipelines.
What We're Looking For:
PhD (or equivalent industry experience) in biochemistry, chemistry, molecular biology, or a related field.
2+ years post-PhD experience in characterizing blood or blood-derived products or in developing blood-based assays for biomarker discovery or clinical testing.
Extensive experience working with a variety of blood collection devices, especially those designed for robust stabilization and/or separation of whole blood.
Broad, expert-level knowledge of blood and/or blood-derived products.
Hands-on experience with assays used to characterize blood fractions at both the cellular and molecular levels, such as flow cytometry and ELISA.
Familiarity with the stability profiles of a diverse set of molecular analytes, including DNA, RNA, proteins, and metabolites.
Proven track record of establishing or evaluating methods for understanding analyte stability.
Ability to perform basic data analysis, enabling experimental iteration independent of external support.
Clear communications skills and ability to work with team members in the same and adjacent disciplines.
Nice to Haves:
Experience developing novel blood collection devices, such as ambient blood collection tubes or point-of-collection plasma isolation devices.
Deep understanding of cancer biology, immunology, epigenetics, and/or the biology of circulating analytes.
Ability to design assays for automated platforms and experience working with liquid handlers.
Experience working in a regulated laboratory environment (CLIA, GLP/GCLP, IVD development).
Freenome is on a mission to empower everyone with the tools they need to detect, treat, and ultimately prevent diseases.
By applying advanced machine learning techniques to recent breakthroughs in genomic science, Freenome is developing simple blood tests to detect early-stage cancer and make treatments more effective. The company has raised $238 million from investors such as RA Capital, Polaris Partners, Perceptive Advisors, Andreessen Horowitz, funds and accounts advised by T. Rowe Price Associates, Inc., GV (formerly Google Ventures), Roche Venture Fund, Kaiser Permanente Ventures, American Cancer Society's BrightEdge Ventures, Data Collective Venture Capital, Novartis and Verily Life Sciences (formerly Google Life Sciences).
Freenome is building technology to gain an understanding of the body through several analytes derived from blood. These signals include cell-free DNA, methylation of cell-free DNA, cell-free RNA, circulating proteins, and immune profiling derived from thousands of prospective samples. By developing novel statistical learning methods and applying them to integrate various -omics datasets, Freenome is a leader in modeling specific biological mechanisms to capture disease dependent signatures such as gene expression, immune response, tumor burden, the tissue of origin, and 3D chromatin structure.
By building comprehensive discovery datasets and modeling critical biological systems, Freenome is learning what biological changes are present within the blood between a variety of different disease states including cancer, autoimmune disorders, infections, drug response, and aging. With the combination of Freenome's datasets, cross-functional technical expertise, and mission to uncover the biological truth, we seek to positively change the lives of millions through the early detection and early treatment of disease.
Freenomers are technical and creative, visionary and grounded, empathetic and passionate. We build teams around divergent expertise, which allows us to solve problems and uncover opportunities in unique ways. Freenomers are some of the most talented experts in their fields, coming together to advance healthcare one breakthrough at a time.
We value empathy, integrity, and trust in one another. That means embracing other's perspectives, those of our coworkers and those of the patients and communities we serve. It means knowing when to push, and when to listen. At Freenome, we give each other the benefit of the doubt in the belief that we're all working as a team toward the same goals, and empower others to grow in a collaborative environment.
What does a successful person look like at Freenome?
Those who thrive at Freenome prioritize, manage, and execute their own goals in alignment with those of the company. They embrace our values of empathy, integrity, and trust, and hold themselves and their team accountable. They crave collaboration with brilliant minds from unfamiliar fields of study and believe that hiring and mentorship are fundamental to our success. Above all, they welcome and provide constructive feedback and criticism, trusting in the good intentions of others, and secure in the knowledge that embracing mistakes is the best way to learn and move on. For those who crave challenges, understudied problems, and the chance to see their work impact the lives of millions of people affected by cancer every year, there's no better place to be.
Freenome is proud to be an equal opportunity employer, we value diversity in every way. Freenome does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.