We are currently searching for a skilled professional to join a well-known client’s team as a Scientist III in Ridgefield, CT. Their work will have a direct impact on the organization and the larger clinical industry, making this an amazing career opportunity.

RESPONSIBILITIES
As an active team member of the Computational Biology (CompBio) research group, 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.
Duties and 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.

EXPERIENCE
Skills:
• Programming experience with two or more programming languages including: Python, R for bioinformatics data analysis.
• Proficiency in working with bulk and single cells NGS data, bioinformatics databases including PPI, CRISPR, Proteomics, or Metabolome.
• 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.
• Good understand of Cancer Biology, Metabolisms, and Immunology.
• Ability to develop and benchmark machine learning ml algorithms.
• Experience in software and/or pipeline development a plus.

EDUCATION
PhD/Master’s degree from an accredited institution with experience in a related scientific discipline (Genomics, Biostatistics, Bioinformatics and Biological Science preferred).

To be a best-fit your strengths must include:
Strong Communicator. You will have extensive correspondence that relies on you being conversant in regulatory guidelines and clinical terminology.
Organized. You’re an efficient time-manager and can handle the pressure of meeting multiple strict deadlines.
Ability to work independently and with a team: You will be collaborating and often contributing to discussions amongst internal teams; you also work effectively without a lot of support or structure.
Problem-Solvers. As an action-oriented self-starter, you’re eager to apply your expertise in diagnosing inefficiencies, determining root causes, and recommending solutions to complex challenges.
Personable. You establish and nurture highly effective relationships with colleagues and key stakeholders that support and advance project goals and objectives.
Credible. Thorough understanding of clinical methodologies and providing sound analytical support, you quickly establish credibility as a reliable resource.