Job Description

Job Description Summary We are seeking a highly motivated human geneticist. The candidate will use their statistical genetics and data science expertise analyzing human genetics and genomics datasets to support early target discovery through cutting edge integrative analysis, collaborating with wet- and dry-lab associates, and clearly communicating key findings leading to data-driven decisions. This position is part of the Human Genetics & Targets group within the Discovery Sciences (DSc) department in Biomedical Research (BR) at Novartis. The DSc Human Genetics & Targets team is a global group of computational and experimental scientists dedicated to validating or invalidating genetics-driven target hypotheses. The team's extensive expertise in genetics analytics, biology, and translatable models is enhanced by DSc's capabilities in AI, functional genomics, chemical biology, and more. The team collaborates with disease area specialists to not only identify disease associations but also to understand the underlying disease mechanisms and advance drug discovery projects to benefit patients in need. Job Description Internal Job Title : Senior Expert I/II, Data Science Position Location : Hybrid Onsite, Cambridge, MA, #LI-Hybrid We are seeking a highly motivated human geneticist. The candidate will use their statistical genetics and data science expertise analyzing human genetics and genomics datasets to support early target discovery through cutting edge integrative analysis, collaborating with wet- and dry-lab associates, and clearly communicating key findings leading to data-driven decisions. This position is part of the Human Genetics & Targets group within the Discovery Sciences (DSc) department in Biomedical Research (BR) at Novartis. The DSc Human Genetics & Targets team is a global group of computational and experimental scientists dedicated to validating or invalidating genetics-driven target hypotheses. The team's extensive expertise in genetics analytics, biology, and translatable models is enhanced by DSc's capabilities in AI, functional genomics, chemical biology, and more. The team collaborates with disease area specialists to not only identify disease associations but also to understand the underlying disease mechanisms and advance drug discovery projects to benefit patients in need. Your responsibilities will include, but are not limited to : Providing statistical genetics expertise for a variety of analyses, including patient stratification and target identification using current statistical genetics methods such as GWAS, ExWAS, MR, and QTL analyses Leveraging large population-based cohorts. Working within a team as scientific lead to assist with design and implementation of analysis plans. Supporting early target discovery with data mining efforts through integrative analysis of human genetic and genomic datasets Collaborating with wet- and dry-lab associates across project teams Clearly communicating key findings through interactive data visualizations and presentations What you'll bring to the role: PhD with 3+ years of post graduate work or equivalent experience in statistics, human genetics, bioinformatics, biostatistics, computational biology, data science or related field with hands on experience analyzing human genetic data Experience analyzing and interpreting human genetics data is a must Familiarity with the analysis of large biobank data: genetic (e.g. genotype array, sequencing), and phenotypic data (e.g. EHR) Experience with additional 'omics data (RNA sequencing, epigenetics, proteomics) and NGS data, single cell a plus A curiosity for emerging technologies and a willingness to learn new methods and approaches as needed Track record of enabling collaborations with interdisciplinary groups of dry and wet lab scientists A strong publication record Strong communication skills Fluency in Python, R, and/or other relevant programming languages Ability to work independently and as part of a team The salary for this position is expected to range between: Senior Expert I, Data Science: $119,700 and $222,300 per year, and Senior Expert II, Data Science: $132,300 and $245,700 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@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. Salary Range $119,700.00 - $222,300.00 Skills Desired Apache Hadoop, Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Master Data Management, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling #J-18808-Ljbffr

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