About the Role
We are seeking a highly capable Statistician to analyze
quantitative multiplexed immunoassay data by applying statistical
formulas and methods, including Design of Experiments, to guide
solutions to practical problems. Your duties will include gathering
numerical data, performing statistical analyses on data, and
creating relevant data sets and supporting figures. To ensure
success, Statisticians should exhibit extensive experience in
performing statistical analyses, Design of Experiments and possess
the ability to interpret results effectively. Critical thinking is
essential to overcome challenges in data collection and
interpretation. Freenome's team based culture sets a priority on
being able to effectively communicate the statistical framework,
analysis and results in a way that is clear to
How you'll contribute:
- Ensuring data integrity by performing rigorous cleaning, error
checking, and validation.
- Analyzing data using statistical techniques, formulas, and
- Performing statistical tests to determine the reliability and
soundness of results.
- Supporting teams with CLSI requirements on data analysis
- Describing, interpreting, and summarizing conclusions.
- Presenting statistical findings to multiple teams across the
- Documenting processes and keeping informed of technological
advancements in the field of statistical analysis.
What you'll bring:
- Master's Degree in Statistics, Data Science, Mathematics, or
equivalent Master's Degree program with a focus on statistical
- Specific experience with in-depth immunoassay data
- 7+ years of experience working as a Statistician, or in a
- Proficiency in statistical software programs, including JMP,
PRISM, R, Python, or equivalent.
- Advanced knowledge of statistical methods, techniques,
formulas, and tests, including Design of Experiments
- Exceptional ability to interpret data and analyze trends, as
well as preparing industry outlooks and forecasts.
- Ability to work across teams to coordinate data gathering.
- Extensive experience in summarizing and presenting findings in
- Keen attention to detail and excellent record keeping
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 $270 Million Series C brings our financing to over
$500 million 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.
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
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.
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