Scientist III - Computational Biology
Boehringer Ingelheim ID # ******** Ridgefield, CT- REMOTE 12 month W2 contract (with potential to extend or transition to perm) Pay rate: $40-45/hour - Depending on Education and Experience Summary:
As an active team member of the Computational Biology (CompBio) research group at Boehringer Ingelheim, US research facility in Ridgefield, CT. The successful candidate will contribute to drug discovery efforts through analysis of multiple disease-relevant data sets, as well as development of core informatics pipelines and data organization.
Responsibilities: Strong scientific understanding and experience in bioinformatics analysis of and their implications in disease biology. Apply and develop innovative analysis approaches when standard methods are not adequate. Interpret and present analysis results to coworkers and collaborators. Technical knowledge of Next-Generation Sequencing (NGS) design and data analysis pipelines including CRISPR (preferable) and omics analysis. Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field. Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports. Reports and treats data with a high level of integrity and ethics. Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies. Design, implement and/or deploy huge molecular data analysis workflows for data processing, integration and mining to support novel therapeutic target identification and disease biomarker discovery Skills or Requirements: Programming experience with two or more programming languages including: Python, R, C/C++, Java, or MATLAB for bioinformatics data analysis. Proficiency in working with bulk and single cells NGS data, bioinformatics databases including PPI, CRISPR, Proteomics, or Metabolome. Experience in single cell and spatial genomics data analysis Experience in biological pathways, data visualization, network and systems biology (GSEA, GeneGO, CBDD, Cytoscape, Reactome) a plus Experience in pharmaceutical research a plus Experience in machine learning, especially deep learning a plus Two years hand on experience of bioinformatics data analysis Good understand of disease biology Basic understand of immunology Ability to develop machine learning models Experience in software and/or pipeline development a plus Education/Experience: PhD/Master's degree from an accredited institution with experience in a related scientific discipline (Genomics, Biostatistics, Bioinformatics and Biological Science preferred) Experience in biological pathways analysis, systems network biology a plus Experience in machine learning, especially deep learning a plus Two years hand on experience of bioinformatics data analysis. Ability to develop and benchmark machine learning ml algorithms. Experience in software and/or pipeline development a plus. What's In It For You?
We welcome you to be a part of one of the largest global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Medical, Dental & Vision Benefits 401K Retirement Saving Plan Life & Disability Insurance Direct Deposit & weekly ePayroll Employee Discount Programs Referral Bonus Programs
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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