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Associate Director, Data Science (Fully Remote)

tap growth ai United State
Remote
This Job is No Longer Active This position is no longer accepting applications

Job Description


🌟 We're Hiring: Associate Director, Data Science! 🌟

We are seeking a highly motivated and experienced Associate Director to join our

Research Team within the Data Science Group. The ideal candidate will have a strong background in machine learning, data science, statistical modeling, bioinformatics, and genetic research, along with experience in the full life cycle of product development and demonstrated leadership capabilities.

∙This role involves overseeing research projects, guiding a team of data scientists, and

collaborating with cross-functional teams to drive innovation and excellence in our

genetic testing solutions.

📍 Location: FULLY REMOTE within U.S

⏰ Work Mode: Work from anywhere

💼 Role: Associate Director, Data Science

Pay Scale

∙$163,000 - $220,000 base salary

∙Compensation is based on experience and location

What You'll Do

∙Leadership and Management: Lead and mentor a team of data scientists and

researchers, fostering a collaborative and innovative environment. Provide strategic

direction and ensure alignment with the company’s goals and objectives.

∙Research Oversight: Oversee the design, execution, and analysis of research projects,

ensuring the use of advanced machine learning and statistical modeling techniques.

Ensure scientific rigor and integrity in all research activities.

∙Project Management: Manage multiple research projects simultaneously, ensuring

timely completion and adherence to budgets. Coordinate with other departments to

align research efforts with business objectives.

∙Collaboration: Work closely with cross-functional teams, including bioinformatics,

clinical, and product development, to integrate research findings into product offerings.

Foster partnerships with external researchers and institutions.

∙Innovation: Stay abreast of the latest developments in data science, genetics, machine

learning, and statistical modeling. Drive the adoption of new methodologies and

technologies to enhance research capabilities.

∙Communication: Present research findings to internal and external stakeholders.

Prepare scientific publications, proposals, and reports.

What We're Looking For

∙Ph.D. in a quantitative field (e.g., Computer Science, Applied Mathematics, Statistics,

Bioinformatics, Engineering), or a related discipline.

∙Minimum of 7 years of experience in data science research, with at least 3 years in a

leadership role. Experience in women's health diagnostic testing is a significant plus.

∙Extensive knowledge and practical experience in machine learning and statistical

Modeling, Including

∙Designing and building predictive models using supervised, unsupervised, and

reinforcement learning techniques with genetic data.

∙Developing models using deep learning approaches.

∙Applying quantitative modeling and statistical analysis to complex biological data.

∙Optimizing machine learning algorithms for performance.

∙Experience with large-scale data and cloud-based environments.

∙Proficiency in Python and open-source machine learning libraries.

∙Strong understanding of genetic data, bioinformatics pipelines, and interpretability of

models.

∙Familiarity with automation of model pipelines.

∙Proven ability to apply mathematical principles to solve real-world problems and deliver

practical solutions.

∙Experience with assay development and analysis pipelines for molecular and clinical

biomarkers.

∙Proven leadership skills, with a track record of managing and mentoring research teams.

∙Strong written and verbal communication skills, with the ability to present complex

scientific concepts to diverse audiences.

∙Demonstrated ability to collaborate effectively in cross-functional teams and build

productive partnerships.

Ready to make an impact? 🚀 Apply now and let's innovate together!

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