What are the responsibilities and job description for the Associate Director, Data Science (Fully Remote) position at Tap Growth ai?
🌟 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: South San Francisco, United States
⏰ 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!
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: South San Francisco, United States
⏰ 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!
Salary : $163,000 - $220,000
