The company is looking to enhance its genetic testing solutions by driving innovation and excellence through advanced data science and machine learning techniques. This involves overseeing research projects, guiding a team, and integrating research findings into product offerings.
Requirements
- 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.
Responsibilities
- Oversee the design, execution, and analysis of research projects, ensuring the use of advanced machine learning and statistical modeling techniques.
- Lead and mentor a team of data scientists and researchers, fostering a collaborative and innovative environment.
- Manage multiple research projects simultaneously, ensuring timely completion and adherence to budgets.
- Work closely with cross-functional teams, including bioinformatics, clinical, and product development, to integrate research findings into product offerings.
- 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.
- Present research findings to internal and external stakeholders.
Other
- Minimum of 7 years of experience in data science research, with at least 3 years in a leadership role.
- 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.
- Experience in women's health diagnostic testing is a significant plus.
