About Univfy:
Univfy is dedicated to helping individuals and couples realize their dream of becoming parents. We are fertility and AI experts passionate about providing patients with the tools to choose the most effective fertility treatment with greater confidence, success and cost-success transparency.
More than 7 million women and couples are impacted by infertility in just the US. IVF is the most effective treatment for most patients, but the cost and the uncertainty of the outcome keep many from trying and reaching their goals. The Univfy platform combines AI, machine learning and fintech to help fertility centers (our clients) integrate personalized medical and financial counseling to benefit their patients. We deliver scientifically validated, personalized prognostics to help patients understand their accurate chances of success with IVF, reduce the financial risk of paying for multiple treatments and make their journey easier along the way.
Univfy is based in Los Altos, California and currently serves IVF centers across 15 states in the U.S. and Canada. We offer competitive compensation and a complete benefits package including medical, dental, vision and a 401k.
About the Role:
As a Senior Data Scientist/Data Scientist at Univfy, you will report to the Director of Data Science – Product Innovation and work with our co-founder/CEO Dr. Mylene Yao and the rest of our Data Science team to build innovative analytics products and expand our R&D platform. You will work with our interdisciplinary team comprising clinical researchers, data scientists, engineers and product teams to build client-facing solutions.
You have strong knowledge and work experience in the application of machine learning and statistics to life sciences or healthcare. You are motivated, adaptable, diligent, creative, and can work well with a team or independently.
Principal Duties and Responsibilities:
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Explore complex data sets to generate hypotheses for testing, select methods, design and run analyses, interpret results, and present findings verbally and in writing.
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Translate prediction models into a production environment, including drafting product design documents based on processed data and model results.
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Perform critical functions in our workflow, including data cleaning, processing, versioning, analysis, model building, validation, light database management, publishing, and review of live products.
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Apply, update and improve established processes and protocols to improve efficiency and accuracy.
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Prepare summary reports of statistical analysis on healthcare, business, and other types of data for internal and client communications.
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Document and archive analysis and programming work to ensure a complete audit trail.
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Work with U.S. and international collaborators to advance the global fertility knowledge base, in the form of scientific publications.
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Occassional collaboration or client meetings across timezones (East Coast, Europe, or Asia).
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This position is based in Los Altos, CA.
Requirements:
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Ph.D. in a quantitative field, such as biomedical informatics, biostatistics, statistics, computer science, math, or engineering.
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3+ years of relevant quantitative research and analytics experience.
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Healthcare or biomedical experience.
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Strong, fluent command of supervised learning concepts and algorithms such as bias-variance tradeoff; regularization; kernel methods vs. Bayesian methods; cross-validation; generalized linear models; ensembles; gradient boosting machine, etc.
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Cloud experience – experience building data pipelines and running models in the cloud; familiarity with AWS.
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Fluency in scientific computing languages/frameworks, especially Python and R.
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Familiarity with SQL.
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Prior work experience in an interdisciplinary team, preferably in both scientific research, prototyping and production environments.
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A track record of multiple data science / machine learning projects, from varying sources in unstructured or semi-structured formats, driven to successful completion.
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Excellent presentation, written, and verbal communication skills.
Bonus qualitifactions:
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Production software engineering skills and experience; javascript, JAVA, C/C++ transferrable.
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Client-facing experience explaining complex concepts to both technical and non-technical clients.