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 https://www.sciphermedicine.com/.
Overview
The Senior Data Scientist will lead technical efforts to develop machine learning 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?
- Designing and evaluating innovative scripts involved in feature selection, predictive model building and data visualization
- Build cloud computing infrastructure to facilitate high throughput hypothesis testing and parameter tuning
- Assist in developing companies' platforms and algorithms in collaboration with the research team.
- Maintain knowledge in latest scientific and technology advancements in the field of Systems Biology and Machine Learning Contribute to high-quality documents and scientific publications.
- 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
- Deliver each project within agreed upon timelines
- Be direct and to the point
Minimum Education and Qualifications
- PhD in Computer Science, Mathematics science, Machine Learning, Data Science, Statistics, or relevant fields
- 2 plus years relevant industry experience
- Experience and understanding in common statistical and machine learning methods
- Experience with deep learning frameworks such as TensorFlow, PyTorch and Keras is a plus
- Skilled coder in Python
- Experience with automating the process of promoting through dev/test/prod workflows and GitHub actions.
- Experience with cloud computing on AWS or GCP
- Experience developing big data pipelines
- Hands on experience analyzing multi-omics data is a plus
- Passion in advancing frontiers of personalized medicine in complex diseases
- Strong communication skills, both written and verbal
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.