Do you believe that AI and machine learning have the potential to transform healthcare? If so, we want to meet you.  

 

The Position

We are looking to hire a Senior Data Scientist. This individual will join a dynamic team responsible for start-to-finish work on the analysis and interpretation of Olaris' metabolomics platform. We are looking for someone who thrives working in a fast-paced, exciting, and collaborative environment in one of the most cutting-edge industries where statistics, machine learning, and AI meet medicine. In addition to data science activities, you will help leading projects, defining future strategies, and supporting the continuous development of our analytics platform. This is a hands-on position, and it is expected you will collaborate with our research scientists to carry out analysis projects and synthesize these results into meaningful reports for clients and product development.

 

This is a full-time position with a competitive benefits package.

 

Key Responsibilities

• Collaborate with internal research teams and external partners in the full research process, including study design, analyses, presentations, and publication

• Provide end-to-end statistical support in the development of Olaris products

• Clearly communicate highly technical methods and results to non-technical audiences

• Troubleshoot with partners and internal stakeholders to refine and optimize models

• Generate scientific communications to peer-reviewed journals and publications

• Develop algorithms to process clinical and molecular datasets, creating the analytic files necessary to support analyses.

• Generate predictive models using both proprietary and off-the-shelf tools.

 

Qualifications

• Ph.D. in statistics, applied math, computational biology or equivalent with 0-2 years of experience, or MS in a related field with 5+ years of experience

• Experience in working with biological data

• Proven ability to independently design and deploy a full-stack data analytics project, including EDA, ETL, modeling, and reporting

• Demonstrated excellence in working with programming language R

• Proficiency in Python is a plus

• Hands-on experience in database creation/mining

• Experience in working with NMR or MS data for metabolomics is a plus

• Working experience in Azure is a plus

• Ability to efficiently work on multiple projects

• Strong written and verbal communication; and ability to communicate technical material to non-technical audiences simply and clearly

• Effective collaborator on team projects

 

 

About Olaris

Olaris is a precision medicine company with a mission to fundamentally change how diseases are diagnosed and treated. With our pioneering metabolomics platform and machine learning algorithms, we collaborate with patients and healthcare providers to identify “biomarkers of response” (BoRs) that will be used to stratify patients to optimize outcomes and reduce adverse events. We get the right drug to the right patient at the right time.

 

Our Values:

Accountable to SCIENCE

Always strive for BETTER

Revolutionary IMPACT

 

You’re the right candidate for Olaris if:

you are passionate about the impact your work will have on the world

you are hardworking, innovative, and take pride in your work

you are excited about working at a high-energy, fast-paced, high growth startup

you are independent, self-motivated, and curious

you are results-oriented

you are able to work well with colleagues from diverse scientific backgrounds

you believe in honest, transparency and will always show respect for your colleagues

 

Work Location

Olaris is located in Framingham, MA.

 

 

Apply

To learn more about this position, please submit your resume and cover letter to careers@olarisBoR.com

If you like diving into data, love R, have used statistical and machine learning techniques to find new insights into complex biological problems, and are passionate about having a profound impact on the future of medicine, we want to meet you.   

 

The Position 

As a member of the Data Science team, you will: 

• Perform statistical data analysis, machine learning, data mining, and optimizations using multiple tools and techniques to get insights from large complex data sets 

• Conduct hands-on rigorous quantitative analysis, including collecting and cleaning the data, and exploring it for accuracy 

• Deploy statistical modeling and optimization techniques most suited for the biological problem using R 

• Make recommendations and modifications to the analysis  

• Interpret outputs of statistical models and results in order to translate input from quantitative analyses into specific and actionable implications 

This is a full-time position with a competitive benefits package 

  

Requirements:

• Degree in Computer Science, Data Science, Statistics, Bioinformatics, Mathematics or related fields  

• 2-5 years related experience in analyzing data, visualizing complex datasets, and developing and testing predictive models 

• Deep understanding of multivariate statistics, machine learning, and other analytical methods 

• Experience in working with large sets of biomedical data and gaining biological insight from statistical analysis 

• Human-friendly and reproducible coding habits 

• Excellent programming skills in R and relevant packages 

 

Preferred Experience:

• Experience with GitHub, Azure 

• Knowledge in metabolomics, signal processing, NMR spectroscopy 

• Experience with SQL, Ruby, Matlab, Python 

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**Olaris is not currently hiring for this position. However, if you're a rock star data scientist we encourage you to submit a resume and we will alert you to new openings. 

If your idea of fun includes figuring out enzyme mechanisms, signaling cascades, feedback loops, and performing network mapping and metabolite pathway analysis and you are passionate about having a profound impact on the future of medicine- than we want to meet you. Olaris is looking for high-performing and outgoing individuals to join our team.   

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The successful candidate(s) will be responsible for a broad range of research activities including analyzing metabolomics data, network mapping, and designing and developing methods to delineate mechanisms of disease resistance. You will work directly with the computational team to determine the biological relevance for data mining and biomarker discovery. You will be responsible for maintaining a proper lab notebook. You will be expected to publish and present our work at conferences. 

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The position level will depend on the level of experience in the relevant areas. 

​

Requirements:

• M.S. or Ph.D. Degree in Biological Sciences, Chemical Biology, Biophysics, or related field 

• Experience with cancer metabolism and/or immune-metabolism 

• Familiar with various omics technologies (transcriptomics, epigenomics, proteomics and metabolomics) 

• Knowledge of NMR and MS 

• Familiarity with statistics and bioinformatics tools 

​

**Olaris is not currently hiring for this position. However if you're a rock star scientist we encourage you to submit a resume and we will alert you to new openings. 

Do you believe metabolic processes provide the basis to understand complex biological problems? Do you get excited about developing novel NMR and MS methods that push the boundaries of what metabolites we can detect? Are you passionate about having a profound impact on an early stage company? If so, we want to meet you. Olaris is looking for high-performing and outgoing individuals to join our research and development team. The successful candidate(s) will be responsible for a broad range of research activities including preparing samples, running custom NMR experiments, and data analysis. There will be opportunities to develop new NMR and MS methodologies to integrate into our platform. To learn more about this position please submit your resume and cover letter to careers@olarisBoR.com

 

Requirements:

• M.S. or PhD Degree in Biological Sciences, Chemical Biology, Biophysics, or related field

• 2-5 years related NMR experience required, additional MS knowledge ideal

• Deep understanding of metabolism, biochemical mapping and network analysis

• Knowledge of NMR theory, pulse programs and data analysis including 1D, 2D and 3D experiments

• Experience with NMRPipe, Chenomix, MNova and processing NUS data

• Familiarity with statistics and bioinformatics tools

​

**Olaris is not currently hiring for this position. However if you're a rock star metabolite scientist we encourage you to submit a resume and we will alert you to new openings.