Senior Data Scientist

Job Description:
A hands-on data scientist role, working with a small team of engineers, biologists and medicinal chemists in our Applications Group. You will be the interface and the glue that binds the life scientists with the computer scientists. You will take responsibility for the data collection, analysis, interpretation and modeling for individual internal and collaborative drug discovery programs. You will be joining the Applications group, which consists of cutting edge data scientists with computational and life science backgrounds. The group is routinely engaged in multiple drug discovery programs across a variety of therapeutic areas.

You are

You are someone with a passion for data and a strong drive to solve hard scientific problems using a data-driven approach. You are entrepreneurial, well organized, self motivated and proactive. You seek and accept responsibility and are excellent at prioritizing competing demands.

Key Responsibilities:

• Organize, mine, explore, and interpret laboratory data from multiple sources under multiple conditions (e.g. CRO, publication, and patent data)
• Develop, implement, and apply statistical methods and algorithms to biochemical data sets using statistical and mathematical principles
• Build and analyze machine learning models based on laboratory data
• Build statistical analysis systems and quality control metrics that will allow for performance monitoring and retrospective analysis of drug discovery programs
• Explain complex and difficult statistical concepts to biologists and medicinal chemists
• Explain complex and difficult biological and chemistry concepts to computer scientists
• Keep meticulous documentation on process and decision making for communication and retrospective analysis

Skills & Qualifications:

• A PhD (or Masters with experience) in Statistics, Mathematics, Biochemistry, Biology, Bioinformatics, or related quantitative fields
• At least 6 years of relevant industry experience required
• Strong project management skills with significant practical experience managing multiple, parallel projects
• Skilled programmer in at least one analytical language such as R, Python, MATLAB, etc.
• Understanding of data modeling and database technologies, including experience with SQL
• Understanding of the practical application of modern machine learning methods
• Proven experience in critical evaluation of the scientific literature; basic skills in mining of biological assay data is a plus
• Good understanding of methods in cell biology, biochemistry, and molecular biology are essential
• Ability to work well under pressure and drive projects that affect critical timelines
• Excellent organizational skills and attention to detail

Pluses:

• Experience with Amazon Web Service APIs
• Experience with KNIME or Pipeline Pilot
• Professional software development experience

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Requeriments :

• M.Sc. or higher Degree in Bioinformatics
• M.Sc. or higher Degree in Statistics

Skills :

• Biochemistry
• Cell Biology
• Machine Learning
• Mathematics
• Modeling
• molecular biology
• Programing in Python
• Programing Skills
• Programming in Matlab
• Programming in R
• Software Design
• SQL
• Statistics

Areas :

• Bioinformatics

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Additional Info:
Benefits:

• Equity participation
• Medical/Dental/Vision
• Life, LTD and ADD Insurance
• 401k plan
• Flexible spending plans: medical, dependent, commuter
• Flexible hours
• Flexible paid time-off
• Work-at-Home Thursdays
• High-end Mac Book Pro

Numerate is an equal opportunity employer and participates in eVerify.

Numerate is a privately-held computational drug design company that is transforming the discovery of new medicines that fill significant therapeutic gaps by harnessing the vast computational power of the cloud and the ever-increasing amounts of drug discovery data by applying proprietary artificial intelligence algorithms. Numerate’s drug design platform combines advances in computer science and statistics with traditional medicinal chemistry approaches to overcome major challenges in small molecule drug discovery and significantly accelerate candidate selection and optimization. Using this platform, coupled with innovative funding and partnership models, Numerate is developing a therapeutic pipeline focused on producing first-in-class candidates against emerging targets addressing major unmet medical needs in cardiovascular, metabolic and neurodegenerative disease.

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