Work setup in the employer’s posting: hybridFrom the employer’s posting
Employment type Full-time
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Lead and mentor a team of data scientists on projects and methods
Design and implement analytics solutions for drug discovery, development and commercialization
Apply machine learning and generative AI to structured and unstructured data
Communicate findings through visualizations, presentations and reports
Work with IT and data engineering teams to integrate analytics into systems
Lead and mentor a team of data scientists
Design and implement advanced analytics solutions to address complex challenges in drug discovery, clinical development, and commercialization.
Apply machine learning techniques, including deep learning and generative AI, to analyze diverse datasets (structured and unstructured)
Communicate findings and recommendations to technical and non-technical stakeholders through clear, compelling visualizations, presentations, and reports.
Collaborate with IT and data engineering teams to optimize data infrastructure and facilitate seamless integration of analytics solutions into existing systems.
You'll need to have: - Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics) required; Ph.D. preferred. - 9+ years of experience in data science, with a proven track record of delivering impactful solutions in the pharmaceutical and life sciences industry (Hands-on experience is preferred)
Open 7 monthsWe first saw this posting 212 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 212
Up longer than most. Similar jobs usually come down between day 8 and day 57.
Well past Beghouconsulting’s usual: its jobs come down by about day 58.
From 9,462 similar postings that came down, and 45 of Beghouconsulting’s. Coming down is not always a hire.
22 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Demonstrated success in managing data & analytics engagements in life sciences or healthcare industries. Preferred expertise in analytics related to drug commercialization (sales force analytics, omnichannel, attribution modeling etc.). Analytical Diversity and agility preferred - Strong proficiency in machine learning, statistical analysis, and data manipulation using Python, or similar state of the art tools. Experience in development and deployment of large scale products/solutions is preferred. - Experience working with cloud platforms such as AWS, Azure, or GCP, including deploying, managing, and optimizing cloud-based solutions.
- Strong proficiency in machine learning, statistical analysis, and data manipulation using Python, or similar state of the art tools. Experience in development and deployment of large scale products/solutions is preferred. - Experience working with cloud platforms such as AWS, Azure, or GCP, including deploying, managing, and optimizing cloud-based solutions. - Experience with generative AI development and associated techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and RL (Reinforcement Learning), preferred.
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Full-time
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