Job Description
Location: Cambridge, Massachusetts
About the role:
We are seeking a dedicated, creative, and skilled data scientist to join our global, dynamic, agile, embedded ‘dry-lab’ research environment and enable the discovery of therapeutic targets and new medicines for diseases of aging. As part of the Disease of Aging and Regenerative Medicine (DARe) Data Science team, you will have the opportunity to drive the integration and mining of high dimensional biological data using internal and external data resources. As a member of the NIBR data science community, you will also benefit from a >200 people global community with extensive know how and resources in data analysis, data engineering and machine learning.
Key Responsibilities:
Your responsibilities include, but are not limited to:
* Conduct data extraction, curation, integration, and mining of multi-modal high dimensional biological data to provide actionable insights.
* Develop and maintain innovative data I/O, analytical tools, and pipelines.
* Work at the interface between in vitro biology investigators, integrated pharmacology, informatics experts and other data scientists globally to deliver new and useful hypotheses based on large-scale molecular, imaging, and real-world evidence biomedical data.
* Contribute to the identification of the most promising new analytical methodologies and data solutions and implement/integrate them within the DARe data science analytic toolbox.
* Identify novel therapeutic targets and biomarkers candidates, elucidate the mode of action of drug candidates, advance the understanding of the molecular cross talks involved in cell fate decision and disease trajectories.
The pay range for this position at commencement of employment is expected to be between $130,400 and $195,600 per year; however, while salary ranges are effective from 1/1/23 through 12/31/23, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Minimum requirements
What you’ll bring to the role:
Essential:
• PhD with 1-2 year, or MS with 4+ year’s proven experience in bioinformatics, computer science, data science or subject area requiring intense data wrangling and analysis.
• Outstanding Programming skills in Python and R with experience of static and interactive reports and visualizations (RMarkdown, R shiny, Plotly, Dash or similar), including web-based deployment of models and results.
• Experience extracting, cleaning, and integrating data from different sources. Knowledge of key concepts around FAIR data and ontologies. Ability to query structured and unstructured data: SQL, Postgres, noSQL (MongoDB, Elastic Search) and knowledge of data I/O formats (JSON, XML)
• Machine Learning: Supervised Learning: Linear & Logistic Regression, SVM, Random Forests, Neural Networks Unsupervised Learning: PCA, k-means Clustering; Statistics: Parameter Estimation, Hypothesis Testing, Model Validation; Probability Theory
• Experience in extracting, integrating analyzing and visualizing biomedical data (ideally omics, genetics, imaging, or RWE)
• Working knowledge of code development and reproducibility (Git, containers, Kubernetes)
• Proactive and dynamic attitude with a demonstrable inquisitive mentality and a proven track record of formulating, articulating, and critically evaluating data driven hypotheses. Excellent teamwork skills and ability to work and thrive in cross disciplinary teams. High learning agility and a desire to be up to date with the latest computational and data technologies
• Fluency in written and oral English with excellent presentation skills.
Desirable requirements:
• Industry experience would be an asset.
• AI/ML: practical experience with one major deep learning framework (PyTorch, TensorFlow).
• Experience with Cloud computing and storage platforms (Azure, AWS, S3, Databricks)
Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives, and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture
You’ll Receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook: https://www.novartis.com/careers/benefits-rewards
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.
Join our Novartis Network:
If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
EEO Statement
The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.