Scientist III- Computational Biology
External ID # 35678244
Ridgefield, CT- REMOTE
12 month W2 contract (with potential to extend or transition to perm)
Pay rate: $45-52/hr - Depending on Education and Experience
Summary:
As an active team member of the Computational Biology and Digital Sciences (CBDS), you will contribute to oncology drug discovery research through in silico data driven approaches. You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs.
Responsibilities:
- Strong scientific understanding and experience in bioinformatics analysis and their implications in disease biology Working knowledge of NGS based omics data analysis (bulk and single cell RNA-seq, spatial transcriptomics analysis is a plus)
- Identify and process publicly available and internal generated bulk, single-cell and spatial transcriptome datasets using statistical and bioinformatics techniques to create meaningful biological insights
- Apply and develop innovative analysis approaches when standard methods are not adequate Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field Interpret and present analysis results to coworkers, biologists and collaborators. Communicate work effectively orally and in writing
- Ensure FAIR data analysis with clear documentation and reproducibility Report and treat data with a high level of integrity and ethics Comply with applicable regulations; Maintain proper records in accordance with SOPs and policies
Skills or Requirements:
- Programming experience with two or more programming languages including: Python, R for bioinformatic data analysis, shell/bash programming in unix-like systems.
- Proficiency in working with bulk and single cell NGS data, spatial transcriptomic data analysis is a plus
- Proficiency in working with cloud computing and high performing clusters (HPC)
Education/Experience:
- Master's degree from an accredited institution with experience in a related scientific discipline (Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences preferred)
- Experience in biological pathway analysis
- Experience in applying machine learning and artificial intelligence methods to biological data, deep learning and graph learning is a plus
- Two years hand on experience of bioinformatic data analysis
- Solid background in basic biology and disease biology
- Knowledge in oncology or immunology is a plus
- Ability to develop and benchmark machine learning algorithms
- Experience in using common public oncology datasets is a plus (TCGA, GTEX, Human cell atlas, CZ CELLxGene Discover, Human tumor atlas network, etc)
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.
Visit
https://www.yoh.com/applicants-with-disabilities
to contact us if you are an individual with a disability and require accommodation in the application process.
For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
YOH Services LLC
401(k), employee discount
Feb 07, 2025