Clinical Development Internship - Remote

Employer
Freenome
Location
South San Francisco, CA
Posted
Jan 25, 2022
Ref
5844900002
Hotbed
Biotech Bay
Required Education
Bachelors Degree
Position Type
Full time

Clinical Development Internship 

The Clinical Development Graduate Intern program provides opportunities for up-and-coming scientists and programmers working on advanced degrees in scientific, medical, or computational biology specialties to immerse themselves in a hands-on clinical research experience. The internships will have either a clinical science and evidence, or clinical data and informatics focus, and will additionally provide exposure to other clinical activities across different clinical programs.  

How you’ll contribute

Depending on the focus, the Graduate Intern will contribute to various projects, such as conduct of literature reviews and exploratory analyses, research and consolidation of information sheets that enrich the internal knowledge base at Freenome, support the creation of clinical study tools, and develop clinical data representation and computational visualization modules to support data monitoring. 

What you’ll bring

This internship is an opportunity for a proactive individual looking for a productive and meaningful learning experience on a fast-paced and closely collaborative team. Applicants must be in a graduate level program (e.g., doctoral, masters) or be a recent graduate in the life sciences / medicine or programming fields. For the focus on clinical science, the intern should have scientific / medical experience with preference in oncology research. For the focus on clinical data and informatics, the candidate should have a programming background, with preferred experience in R and Python, and with experience working with life sciences data. 

This is a three month internship. Interns will be compensated on an hourly basis with consideration for their experience / expertise.  

About Freenome

Freenome is on a mission to empower everyone with the tools they need to detect, treat, and ultimately prevent cancer.

We have pioneered the most comprehensive multiomics platform for early cancer detection through a routine blood draw.  By combining deep expertise in molecular biology with advanced computational biology and machine learning techniques to recognize disease-associated patterns among billions of circulating, cell-free biomarkers, we are developing simple and accurate blood tests for early cancer detection and integrating the actionable insights into health systems to operationalize a machine learning feedback loop between care and science. 

Our recent Series D and E brought our financing to over one billion from investors, including;  Bain Capital, Perceptive Advisors, RA Capital, Polaris Partners, 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. 

Our Science

Freenome is building technology to advance the understanding of cancer through multiple 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, including 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. The synthesis of Freenome’s datasets, cross-functional technical expertise, and audacious mission to discover biological truth, we seek to improve the lives of millions through early detection and early treatment of disease.  

Our Culture

Freenomers are technical, creative, visionary, grounded, empathetic, and passionate. We build teams around divergent expertise, allowing us to solve problems and ascertain opportunities in unique ways. Freenomers are some of the most talented experts in their fields, joining together to advance healthcare, one breakthrough at a time. 

We value empathy, integrity, and trust in one another, and we respect the diverse perspectives of our colleagues and those we serve.  We assume positive intent and give each other the benefit of the doubt with the firm belief that we are a team working toward the same objectives.  We believe in empowering and supporting each other in a collaborative and dynamic environment. 

What does a successful person look like at Freenome?

Those who thrive at Freenome prioritize, manage, and execute their own goals with ownership and alignment with those of the company. They embrace our values of empathy, integrity, striving for greatness, servant leadership, trust, and holding themselves and their team accountable to these values. They crave collaboration with brilliant minds from disparate 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 others’ good intentions, and being secure in knowing that embracing mistakes is the best way to learn and grow. For those who pursue challenges, understudied problems, and want the opportunity to see their work impact the lives of millions of people affected by cancer every year, there’s no better place to be than Freenome.

Freenome is proud to be an equal opportunity employer and we value diversity. 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.