Senior Bioinformatics Data Scientist
Job Description 800 plus biomarker discovery and development projects, across more than 100 clinical studies, which generate 20 petabytes of patient data! All waiting for you to unlock the next breakthrough in medicine.
As a member of the Quantitative Sciences & Innovation (QSI) unit in Biomarker Development, you will join Novartis' clinical trial teams to speed new medicines into the clinic across one of the industry's largest and most innovative portfolios. By integrating high-throughput biomarker technologies from First In Human through Phase III clinical trials, you will investigate disease heterogeneity, drug efficacy, and patient safety at molecular resolution to advance trials in new indications and patient populations. You are passionate and curious scientist, eager to bring creative solutions to biology's most daunting challenges on our journey to reimagine medicine. Working alongside dedicated physicians and biomarker scientists, our Data Scientists provide the analytical insights that drive Translational success.
Your responsibilities will include:
* Conceive, design, and execute exploratory analyses as Lead Data Scientist across First In Human, Phase I-III clinical trials, applying advanced analytical methods as required
* Participate in and lead cross-functional biomarker collaborations with Discovery and Development partners to support target selection and registration activities
* Provide subject matter expertise for high-dimensional clinical data (genetics, genomics and/or RWE) and analysis solutions to inform patient stratification and enrichment strategies
* Work expeditiously as a member of matrixed clinical trial teams with diverse membership and expertise
* Designing/performing multi-omics data analyses to test and discover prognostic and predictive biomarkers for clinical therapy 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. Minimum requirements Minimum requirements
What you will bring to the role:
* PhD or MD or equivalent experience in statistical genetics, bioinformatics, biostatistics, computational biology, machine learning, data science or related field.
* 3+ years of experience in analyzing large biological datasets in a drug discovery/development or relevant academic setting.
* Expert knowledge of statistical programming in R. Working experience with Python or similar scripting programming language a must. Familiarity with HPC and/or Cloud based computing preferred.
* Strong grasp of human genetics and molecular epidemiology, including genomic approaches, technologies, and analytic methods to inform clinical trial design and enrichment, e.g. GWAS/RVAS/PheWAS.
* Strong understanding of biostatistics and machine learning, including longitudinal analysis and signal processing.
* Excellent communication and ability to translate analytical concepts for diverse audiences and stakeholders.
* Hands-on experience in NGS data quality control and interpretation preferred.
* Extensive knowledge of cardiovascular research a plus.
Why Novartis?
766 million lives were touched by Novartis medicines in 2021, and while we're proud of this, we know there is so much more we could do to help improve and extend people's lives.
We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.
We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world's toughest medical challenges. Because the greatest risk in life, is the risk of never trying!
Imagine what you could do here at Novartis!
Commitment to Diversity & Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Accessibility and Reasonable Accommodations: Individuals in need of a reasonable accommodation due to a medical condition or disability for any part of the application process, or to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com or call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Vaccine Policy: While Novartis does not require vaccination at this time, for certain Novartis sites in the US all associates and candidates may be required to either upload an image of their COVID-19 vaccine card demonstrating proof of full vaccination for COVID-19 (or other similar evidence of vaccination) or proof of a negative COVID-19 test taken by the associate or candidate within the past seven days to enter any of our sites and/or customer office or healthcare facility, as well as prior to participating in other work related off-site meetings. Employees working in customer-facing roles must adhere to and comply with customers' (such as hospitals, physician offices, etc.) credentialing guidelines, which may require vaccination. As required by applicable law, Novartis will consider requests for reasonable accommodation for those unable to be vaccinated. This requirement is subject to applicable state and local laws and may not be applicable to employees working in certain jurisdictions. Please send accommodation requests to Eh.occupationalhealth@novartis.com.
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 Business Unit Translational Medicine Work Location Cambridge, MA Company/Legal Entity NIBRI Functional Area Data Science
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Novartis Group Companies
September 02, 2022