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Position: MSD Data Science Intern
Institution: Novartis AG
Location: Basel, Switzerland
Duties: As part of the data science team and in collaboration with our translational experts, you will quantitatively explore and model osteoarthritis (OA) patient endotypes and disease state biomarkers using RNAseq, scRNAseq and proteomics from OA joint tissues, as well as build data visualization tools to enable NIBR researchers to leverage your results. You will further work to integrate data from public databases with your results
Requirements: Proficient in R programming, with good knowledge of statistical data modeling; Hands on experience in some type of genomics data analysis (e.g. RNAseq or scRNAseq etc.); Experience with using data visualization such as ggplot2; Some experience working in Unix/Linux and HPC environment; High learning agility, developed scientific curiosity and a desire to make a difference for patients; Solution-based approach to problem-solving
   
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November 2022 Switzerland Job Description Several thousand patients and millions of molecular and clinical data points at your fingertip. The MSD Musculoskeletal Disease Area is seeking a talented postgraduate candidate to perform exploratory analytics and multi-omics data mining on musculoskeletal disease samples towards novel pathomechanisms, endotypes and biomarkers. Your responsibilities As part of the data science team and in collaboration with our translational experts, you will quantitatively explore and model osteoarthritis (OA) patient endotypes and disease state biomarkers using RNAseq, scRNAseq and proteomics from OA joint tissues, as well as build data visualization tools to enable NIBR researchers to leverage your results. You will further work to integrate data from public databases with your results. Minimum experience: • Proficient in R programming, with good knowledge of statistical data modeling • Hands on experience in some type of genomics data analysis (e.g. RNAseq or scRNAseq etc.) • Experience with using data visualization such as ggplot2 • Some experience working in Unix/Linux and HPC environment • High learning agility, developed scientific curiosity and a desire to make a difference for patients • Solution-based approach to problem-solving • Excellent analytical and organizational skills • Strong interpersonal and communication skills, recognized as a team player and ready to take the initiative Preferred Experience: • Experience in RShiny and Rmarkdown html reports • Experience in querying databases (e.g. SQL in R) • Experience in analyzing scRNAseq and spatial transcriptomics Timing: expected start date early 2023. Duration: 4-6 months Diversity & Inclusion / EEO Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Minimum Requirements • Recent MSc graduate or currently enrolled in a MSc program, in computational biology, bioinformatics or data science (some biology knowledge is strongly preferred) • Proficiency in English, both spoken and written 799 million lives were touched by Novartis medicines in 2020, 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! Division NIBR Business Unit MUSCULOSKELETAL - NIBR Location Switzerland Site Basel Company / Legal Entity Novartis Pharma AG Functional Area Interns/Students on Novartis Payroll Job Type Full Time Employment Type Internship Shift Work No
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