Associate Director, Data Science (Fully Remote) - Tap Growth ai : Job Details

Associate Director, Data Science (Fully Remote) role at Tap Growth ai. 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, datascience, statistical modeling, bioinformatics, and genetic research, along with experience in the full life cycle of product development and demonstrated leadership capabilities.

• 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 companys 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.

• 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!

• Mid-Senior level

• Full-time

• Other

• IT Services and IT Consulting