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Research Scientist Precision Medicine

Company: GNS Healthcare
Location: Somerville
Posted on: January 9, 2022

Job Description:

Company OverviewImagine if we could harness the power of real-world clinic-genomic data and the next generation AI to radically change the way novel drug therapies are discoveredHeadquartered in Somerville, MA, GNS Healthcare is an AI-driven precision medicine company transforming the way novel -drug therapies are discovered, developed, and utilized to drive the best possible patient outcomes across oncology, auto-immune diseases, and neurology. Our solutions powered by large multi-modal datasets, simulate patient response at the individual level through -in silico -patient models called Gemini. Gemini reveal the underlying circuitry of diseases to provide insights and evidence -to -support enhanced drug discovery, clinical trials, real world evidence and market access strategies Backed by decades of research, validated results and clinical expertise, our solutions are used by many of the world's leading biopharmaceutical companies. -Position SummaryThe -Research Scientist (the title can be Senior Research Scientist based on experience level) will join a dynamic team responsible for start-to-finish work on the analysis and interpretation of biological datasets using GNS's powerful cloud-based analytics platform. You will have the opportunity to work on projects with a variety of goals including discovering new biology, identifying potential disease targets, developing prognostic and predictive biomarkers, defining target populations for clinical trial patient stratification, and predicting patient outcomes to treatment. -We are looking for someone who thrives while working in a fast-paced and exciting environment in one of the most cutting-edge industries where big data analytics meets healthcare. You will carry out analysis projects using our proprietary, supercomputer-powered Bayesian network modeling and simulation platform, and will synthesize these results into meaningful reports for clients and product development.Responsibilities

  • Collaborate with internal research teams and clients to evaluate study design, define research questions, write statistical analysis plans/study protocols, and conduct analyses
  • Integrate molecular, clinical, and epidemiological information and interpret findings to understand biological relevancy
  • Perform predictive and causal modeling using both proprietary and off-the-shelf tools
  • Perform initial data processing and QC of high dimensional multi-omic data
  • Develop reports and presentations for clients and collaborators
  • Participate in publication of findings and submissions to scientific meetings.
  • Troubleshoot with clients and internal stakeholders to refine and optimize models
  • Communicate technical results clearly and concisely to clients, discuss how to incorporate information into their processes, and achieve high client satisfaction
  • Complete studies of high complexity in a timeline driven mannerQualifications - -Minimum Qualifications: -
    • Master's Degree (Bioinformatics, Computational Biology, Biostatistics, Epidemiology -Data Science, Systems Biology, Genetics, Oncology, (Bio)Physics, Mathematics, Computer Science, or similar quantitative field); PhD preferred
    • 3 years or plus of relevant work experience -
    • Experience working with high throughput genetic and/or 'omics' data
    • Expert level experience programming in R with an ability to design, train, and code up machine learning and statistical models
    • Knowledgeable about machine learning, causal inference, and statistics
    • Demonstrated expertise in using computational modeling, machine learning, informatics, or mathematics to generate insights for biology in at least one of the following disease areas: oncology, cardiovascular, metabolic/CV, immunology, rare disease, neurology, etc.
    • Strong written and verbal communication; an ability to communicate technical material to non-technical audiences simply and clearly
    • A passion to learn new things and solve problems -Preferred Qualifications:
      • PhD
      • Experience working with advanced machine learning techniques, probability theory, Bayesian analysis, or causal inference methods
      • Industry experience
      • Familiarity with the UNIX and cluster computing environmentCompany CultureOur philosophy at GNS is simple: - we cannot transform healthcare with anything less than an all-star team. -We are seeking smart, driven people who are experts in their field, have a track record of success and a passion for creating change. -We believe that strong teams supercharge the performance of individuals, create a fun and dynamic workplace and great results for our clients and the people they serve.We are passionate about our work and believe in the ability of our technology to change the world. Our core values of integrity, collaboration, value, diversity, and game-changing guide our behaviors with each other and our clients.GNS offers competitive salaries, stock options, unlimited vacation, health, dental and vision insurance, life insurance, long-term disability, 401(k), generous parental leave, tuition reimbursement, professional development, subsidized parking and gym membership, tasty food, volunteering opportunities, social gatherings, and more.Equal Employment OpportunityGNS Healthcare provides equal employment opportunities to all employees and applicants for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity or expression, age, veteran status, disability, pregnancy or conditions related to pregnancy, or genetics. In addition to federal law requirements, GNS Healthcare complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Keywords: GNS Healthcare, Somerville , Research Scientist Precision Medicine, Healthcare , Somerville, Massachusetts

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