Senior Expert Data Scientist for Cardiovascular, Renal and Metabolism (CRM)

National Black MBA Association; Cambridge (MA); On-site; USD 119,000 - 223,000; Full time

Job summary

A leading company in the pharmaceutical industry is seeking a Senior Data Science Expert to join their Data42 team. This role involves collaborating with scientists to advance research and drug development using cutting-edge AI/ML models. The ideal candidate will have a strong scientific background and experience in machine learning, along with effective communication skills to engage with diverse stakeholders. This position offers a competitive salary and comprehensive benefits.

Benefits

Medical benefits

401(k)

Paid leave

Bonuses

Stock units

Qualifications

• Strong scientific research background with AI/ML experience.
• Effective communication skills for diverse audiences.
• Proven ability to rapidly learn new subject areas.

Responsibilities

• Leading projects and communicating with stakeholders.
• Developing AI models and clinical pipelines.
• Designing bioinformatics tools for data integration.

Skills

Machine Learning

Data Science

Communication

Scientific Curiosity

Education

PhD in a quantitative field

Tools

Python

R

SQL

MATLAB

Spark

Git

Docker

AWS

Job description

Job Description Summary

Do you love data and tech? Are you excited about AI? Are you a team-player who inspires greatness in others? Do you want to find the answer to life, the universe and everything?

Join our Data42 team!

At Novartis, we reimagine medicine by using the wealth of our internal data combined with advanced analytics. Our Data42 platform provides access to high-quality, multi-modal preclinical and clinical data, as well as external data. It is an ideal environment to develop cutting-edge AI/ML models. Our global Data42 team of data scientists and engineers is dedicated to uncovering insights and driving drug development decisions leveraging this platform.

We are seeking a highly skilled Senior Data Science Expert to join our team. You will collaborate with scientists across disease and functional areas to advance research and drug development, especially in Cardiovascular, Renal, and Metabolic programs.

Working with the CRM Scientific Lead (Cardio-Renal-Metabolic), you will be part of our Data42 Data Science function, collaborating with scientists, clinicians, and data scientists in relevant disease areas, as well as with our AICS (AI and Computer Science) colleagues.

Job Responsibilities

1. Leading projects and effectively communicating with stakeholders and collaborators.
2. Developing cutting-edge AI models.
3. Designing and developing clinical pipelines and customizing pooled trial data to address scientific questions such as indication expansion, asset differentiation, patient subgroup identification, and biomarker discovery.
4. Designing, using, and improving bioinformatics tools and models for integrating diverse biological data layers.
5. Connecting data resources with project teams to enhance hypothesis generation through insights from pipeline data.

Requirements

• Strong scientific research background with demonstrated ability to answer critical questions using AI/ML.
• Effective communication and presentation skills for diverse audiences, including peers, stakeholders, and non-experts.
• Proven ability to rapidly learn new subject areas and demonstrate a willingness to step outside comfort zones.
• PhD in a quantitative field (e.g., Computer Science, Physics, Statistics, Data Science, Mathematics) with proven ML/AI experience.

Preferred Technical Skills

• Machine Learning & Data Science: Supervised/unsupervised learning, Deep learning, Feature engineering, Dimensionality reduction, Anomaly detection, Statistical inference, Time series analysis, Data visualization.
• Programming & Tools: Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch), R, SQL, MATLAB, Spark, Git, Docker, Cloud (AWS).
• Data Engineering: Data cleaning, SQL, model deployment, big data processing.
• Experience with clinical or other life sciences data (e.g., omics, pre-clinical, claims) is a plus. Ability to communicate complex analyses effectively.
• Strong scientific curiosity, initiative, and learning agility.
• Ability to work interdisciplinary with clinicians, biologists, chemists, and data scientists.
• Excellent verbal, written, and virtual communication skills.
• Prior experience with NGS and –omics data is preferred.

Compensation and Benefits

The starting salary range is $119,700 to $222,300 annually, with potential adjustments based on market and individual factors. The total package may include bonuses, stock units, and comprehensive benefits like medical, 401(k), and paid leave. Details will be provided upon offer.

For more details, see our benefits at https://www.novartis.com/careers/benefits-rewards.

EEO and Accessibility

Novartis is an Equal Opportunity Employer. We value diversity and do not discriminate based on legally protected attributes. We are committed to providing reasonable accommodations for individuals with disabilities. Contact us at [e-mail] or call [phone] for assistance.

Salary Range

$119,700 - $222,300

Skills Desired

Hadoop, Mathematics, Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning, Proteomics, Python, R, Statistical Modeling.