Senior Data Scientist, Health Research

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Named by Rock Health as the Best Digital Health Company to Work For, Color is a leading healthcare technology company. Color is building and delivering technology-enabled healthcare to millions of people. Through partnerships with public and private partners including governments, employers and health systems, Color’s infrastructure and software enables large populations to receive essential healthcare services directly where they live or work. This includes testing and telehealth services for preventive health and infectious disease management.

Since March 2020, Color has mobilized to address the pandemic by leveraging its platform to scale COVID-19 testing programs around the country. Color’s platform is used by more than 100 major employers, universities and public health institutions, such as the City of San Francisco, the State of California and PerkinElmer, community-based efforts in Oakland, and others, to deliver critical health programs. For more information about Color and its response to COVID-19, visit www.color.com.

By investing in the technology that ensures easy and affordable access to healthcare, Color is creating the infrastructure that will serve us for decades to come. Apply to join Color and do some of the most important work of your career. If you are not sure that you're 100% qualified, but are up for the challenge - we want you to apply!

The Data Science team at Color is tasked with turning our large, growing corpus of data into actionable insights, using the most advanced methods available, to help individuals improve their health. Members of the team have diverse backgrounds in population genetics, biostatistics, machine learning, business analytics, and engineering. We enjoy working with other teams throughout the stack, including the early data exploration phase, scientific discovery, rigorous implementation, and eventually product integration and follow up.

Learn more about some of the recent work we’ve done below, through the publication section of the Color website, and on our blog.

How You’ll Contribute:

• Develop data-driven insights to guide our product roadmap and reach a broader market
• Apply state-of-art methods in health research to improve our assay and offerings
• Help individuals around the world utilize the technology you helped build

Our Ideal Candidate Will Have:

• You have 3+ years of experience working with healthcare data
• You have deep knowledge of data-driven research in healthcare in either genomics, epidemiology, or health outcomes
• You're well-versed in the tools of the modern computational biology, including coding in Python, R, or C/C++ and the statistical models used to develop new insights or predictions
• You have a MS or PhD in a quantitative or computational field and a track record of producing high quality research
• You have a track record of translating scientific results into new products
• You have the ability to plan and execute rigorous statistical analysis on population scale health data sets
• You’re passionate about using biostatistics to help save lives and prevent catastrophic disease
• You want to apply your skills in the service of a greater mission
• You have and value strong communication and presentation skills and can confidently present your findings to technical and non-technical audiences

Nice to Have:

• 3 or more years of experience working in the healthcare industry
• Advanced proficiency in large scale data analysis and management

Recent projects the team worked on:

• Developed novel imputation approaches from low-coverage whole-genome sequencing (collected locally, in our state-of-the-art NGS lab)
• Demonstrated the contributions of mild and asymptomatic individuals to the spread of the SARS-CoV-2 virus
• Deployed machine learning models throughout multiple components of Color’s stack, including variant calling and classification
• Developed epidemiological models of SARS-CoV-2 viral spread in small populations that help to inform proactive testing strategies that help keep people safe as they return to work or school

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Color is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Color prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Color conforms to the spirit as well as to the letter of all applicable laws and regulations.