Job Description

About Us

We are tackling one of the largest problems in healthcare. In autoimmune conditions, a common clinical practice includes trial-and-error approaches to determine the right therapy for a patient. At Scipher Medicine, we are developing an innovative portfolio of personalized medicine solutions in complex diseases. Scipher's platform identifies and guides physicians towards a more targeted approach to determine the best treatment for their patients, based on their patient’s own fundamental disease biology. We have a growing pipeline of products that are currently being developed and the potential to predict which therapies patients will respond to, ensuring optimal treatment is prescribed from day one.

This includes PrismRA, a precision medicine test that helps guide healthcare providers’ treatment decisions in patients with rheumatoid arthritis. Pipeline indications span the autoimmune and immune-mediated diseases space. Learn more about Scipher at .

Overview

The Principal/Senior Data Scientist will lead technical efforts to develop AI/machine learning based pipelines and apply state-of-the-art computational and statistical methods to deliver testable hypotheses and biological insights in Personalized Medicine.

What will I do?

• Lead the development of AI and machine learning based models to offering tools for precision diagnostics, drug discovery, and personalized medicine, by analyzing complex biological multi-omics data and predicting treatment outcomes
• Contribute to the development of companies' platform and biomarker discovery in collaboration with the research team
• Build cloud computing infrastructure to facilitate high throughput hypothesis testing in collaboration with other R&D scientists
• Summarize and communicate results to project teams, provide intellectual input, and contribute to decision-making.
• Present the company’s scientific results internally and at leading industry conferences. Contribute to high-quality documents and scientific publications
• Deliver each project within agreed upon timelines
• Maintain knowledge in latest scientific and technology advancements in the field of Systems Biology and Machine Learning

Minimum Education and Qualifications

• PhD in Computer Science, Mathematics science, Machine Learning, Data Science, Statistics, Bioinformatics or relevant fields
• 5 plus years of experience in machine learning, computational biology, bioinformatics, systems biology
• Experience in common statistical and machine learning methods
• Skilled in implementing machine learning and statistical analysis to high dimension data.
• Proficiency in coding (R and python are preferable)
• Familiar with bioinformatics and hands on experience analyzing genomic data, gene expression patterns, and understand genetic networks
• Experienced in network science approaches and multi-omics data computing is a plus
• Ability to establish and maintain effective working relationships with coworkers, managers, and clients
• Strong communication skills, both written and verbal
• Passion in advancing frontiers of personalized medicine in complex diseases

Scipher is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status or any other characteristic protected by law.

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