Data Scientist

Full-time · New York, United States

Job description

This position is part of a growing computational team to transform the fertility market, by introducing transformative cell engineering methodologies to generate reproductive cell types and products. Gameto is looking for exceptional candidates to join our team, either remotely or locally in New York City. The successful candidate will join an interdisciplinary team of computational biologists, engineers, and stem cell biologists, who are working to transform the reproductive longevity space, by leveraging the advances of cellular reprogramming to make menopause optional and address aging through the lens of the ovary. A working knowledge of high-throughput DNA and RNA sequencing is required, along with a passion for playing an essential role in the development of transformative therapies.

We are looking for individuals who are enthusiastic about taking a hands-on, problem-solving approach, and collaborating with engineers and scientists in a fast-paced work environment that is infused with intellectual rigor. The right candidates will have outstanding academic records and strong communication skills, will demonstrate innovative and analytical thinking, and will enjoy working in an interdisciplinary team.

Characteristic Duties:

  • Apply existing and novel algorithms to stem cell data sets; analyze data quality; critically review and analyze results; communicate results to biologists, computational biologists, software engineers, and experimentalists.
  • Develop data analysis strategies, write algorithms, and deploy computational tools for the exploration of large data sets, consisting of DNA and RNA sequencing data from stem cell-derived ovarian cell types, single-cell sequencing data, epigenetic data, proteomic data, sample images, and drug screening data.
  • Explore novel data visualization tools, with emphasis on integrating diverse data types.
  • Implement algorithms as software for distribution via cloud based platforms.

Requirements:

  • M.S. in Computer Science, Bioinformatics, Engineering, Math, Statistics, Physics, or a related quantitative discipline.
  • Strong programming skills and experience in algorithm
  • development (Python, Julia, R, MATLAB, or C++).
  • Knowledge of statistics and computational data analysis.
  • Knowledge of biology/genetics and cellular biology is required.

About Gameto:

Gameto is a new breed of a biotechnology company in female reproductive longevity. We are using cellular reprogramming and have engineered ovarian cell types and now have an ovarian therapeutics platform focused on eliminating infertility and menopause. We are based in New York City and Boston. Gameto is led by physician turned entrepreneur, Dina Radenkovic, and a serial entrepreneur & leader in the fertility space, Martin Varsavsky.

Our team is mission-driven, kind, collaborative and authentic. We are determined to rewrite history and use scientific breakthroughs to create products people love. We believe that great results are best delivered by a highly mathematically organized yet simultaneously creative group working together like a synchronous clock.

Read about Gameto in TechCrunch, Endpoints, Forbes, and Longevity.Technology.

We are an equal opportunity employer and value diversity at our company; we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If interested in this position, please send the following to careers@gametogen.com with the email subject “Data Scientist (your full name)”:

  • CV +/- LinkedIn Profile +/- professional website.
  • Where you are currently located, if you are willing to relocate to New York or Boston,and if you are authorized to work in the USA.
  • Cover letter with a couple of sentences about how your experience maps to our needs, which parts of the role you think you will excel in, and what interests you about Gameto as well as current employment status and potential start date and future career aspirations.

Anything else you would like to share with us about yourself or your previous work.

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