Bioinformatics Analyst III

US Tech Solutions; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

Join a dynamic and innovative team at a global leader in staff augmentation, where you will leverage your expertise in computational biology and bioinformatics to drive oncology discovery and clinical development. This role offers a unique opportunity to work on cutting-edge therapies for cancer treatment, utilizing advanced techniques such as NGS analysis and statistical modeling. Collaborate with a multi-disciplinary team in a fast-paced environment, contributing to transformative projects that impact patient care. If you are passionate about making a difference in the field of oncology and thrive in collaborative settings, this position is perfect for you.

Qualifications

• Strong background in NGS analysis and computational biology.
• Experience with statistical modeling and data integration.

Responsibilities

• Formulating scientific questions into analytical efforts.
• Developing statistical models and bioinformatics methods.

Skills

NGS analysis (RNAseq, WES, CRISPR screen)

R

Python

Experience with HPC clusters

Cloud compute

Docker containers/apptainers

Data visualization (ggplot2, plotly)

Good communication skills

Education

PhD in bioinformatics or related field

Master’s degree with 3-5 years of experience

Bachelor’s degree with 6-8 years of experience

Tools

GitHub

Rshiny

Statistical modeling tools

Job description

Duration: Length of the assignment: 3 months
M-F, 9-5 (flexible)

Job Description

The Genomic Research Center Computational Oncology group (GRC-CO) is seeking a highly motivated computational biologist/bioinformatics scientist to play an integral role in a multi-disciplinary team focused on developing new therapies for the treatment of cancer. GRC is a center of excellence for bioinformatics, functional genomics, human genetics, and genomic medicine.

The GRC works across all R&D as well as other areas such as process sciences and corporate strategy.

The successful candidate will have the opportunity to work in a fast-paced and highly collaborative environment to contribute to oncology discovery and clinical development programs (including therapies based on antibody-drug conjugates, small molecule inhibitors, protein degraders, etc.).

They will be responsible for formulating scientific questions into coherent analytical efforts, developing rigorous statistical modeling and bioinformatics methods, integrating large scale multi-modal datasets to derive quantitative biological insights, and communicating scientific findings to project teams.

Top 5 Skills/Requirements

1. Required Skill 1: NGS analysis (RNAseq, WES, CRISPR screen etc.)
2. Required Skill 2: R and Python
3. Required Skill 3: Experience with HPC clusters, cloud compute, docker containers/apptainers or similar
4. Required Skill 4: Data visualization (ggplot2, plotly, etc.)
5. Required Skill 5: Good communication skills

Years of Experience, Education, and/or Certification Required

1. PhD. Degree in bioinformatics, computational biology, statistics, mathematics, computer science, genomics, cancer biology, immunology, or a related field.
2. Master’s degree with typically 3-5 years of experience.
3. Bachelor’s degree with typically 6-8 years of experience.

Nice to Have (But Not Required)

1. Oncology background, especially in cancer biology, tumor dependencies, signaling pathways
2. Predictive modeling, machine learning, statistics
3. Rshiny, data visualization dashboard development
4. Version control, GitHub, shell
5. Strong publication record
6. Support of programs in early to late stage discovery drug pipeline.
7. Prior research work in oncology bioinformatics analysis, either in academia or industry

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

US Tech Solutions 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.