Lead Data Scientist

We are looking for an experienced Lead Data Scientist to play a pivotal role in our data science department. This role is designed for a seasoned professional who combines deep data science expertise with a passion for healthcare innovation. In this role, you will lead complex projects that fuse machine learning, predictive analytics, and data analysis techniques to advance our diagnostic technologies. You will work closely with cross-functional teams, including R&D, product development, and clinical affairs, to implement data-driven solutions that align with our strategic objectives and regulatory standards.Onsite Full Time Job Responsibilities:  

• Innovation & Research: Stay abreast of the latest developments in data science, machine learning, and medical diagnostics. Take the initiative in finding and exploring new methodologies and technologies that can drive innovation in diagnostic solutions. Help educate teammates on new- found technologies.
• Data Analysis & Modeling: Lead the development and implementation of predictive models and machine learning algorithms to enhance the performance of diagnostic devices. Conduct deep data analysis to identify patterns, trends, and insights that can inform product development and clinical strategies.
• Collaborate with cross-functional teams to integrate data science solutions into product development and clinical trials.
• Reporting & Presentations: Take the lead in authoring comprehensive reports that succinctly communicate findings, trends, and insights from complex datasets. Deliver compelling presentations to both technical and non-technical stakeholders, ensuring clear understanding and actionable recommendations to guide decision-making in product development and clinical strategy.
• Data Strategy: Provide recommendations to the data management team on the development and implementation of data strategies that ensure the scalability, security, and integrity of our data processes and architectures. 

Minimum Qualifications

• PHD and 5+ years experience in Data Science, Computer Science, Engineering, Statistics, Biostatistics, or a related field.  OR
  • Masters and 7+ years of experience
• Strong knowledge of statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques as applicable to problem solving in biological sciences.
• Expert proficiency in Python programming using software engineering principles.
• Experienced in data transformation and creation of data visualizations using tools like MatplotLib, Seaborn, Tableau or Power BI.
• Experienced in Unit Testing preferred
• Strong analytical skills with the ability to organize, analyze, and disseminate information with attention to detail and accuracy, with the ability to tackle complex challenges in innovative ways.
• Excellent verbal and written communication skills, with the ability to convey complex data insights to technical and non-technical stakeholders.
• Comfort working in a dynamic, fast-paced, research-oriented group with several ongoing concurrent projects
• Full fluency (verbal and written) of the English language is a must.
• Experience in a process-driven industry domain strongly preferred. 

The estimated salary range for this role based in California is between  $144,200 - 201,900. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux’s bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate’s experience and will be presented in writing at the time of the offer. In addition, bioMérieux offers a competitive Total Rewards package that may include: 

• A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options 
• Company-Provided Life and Accidental Death Insurance 
• Short and Long-Term Disability Insurance 
• Retirement Plan including a generous non-discretionary employer contribution and employer match.
• Adoption Assistance 
• Wellness Programs 
• Employee Assistance Program 
• Commuter Benefits 
• Various voluntary benefit offerings
•  Discount programs 
• Parental leaves