Offer summary

Qualifications:

PhD in bioinformatics, computational biology, or related field., Experience with NGS data analysis (RNA-seq, WES, CRISPR screens)., Proficiency in R and Python programming languages., Knowledge of HPC clusters, cloud computing, and containerization tools..

Key responsibilities:

Develop and implement bioinformatics methods for cancer research.

Analyze large-scale multi-modal datasets to derive biological insights.

Communicate scientific findings to multidisciplinary teams.

Support oncology discovery and clinical development programs.

Job description

Duration: Length of the assignment: 3 months

MF, 95 (flexible)

The Genomic Research Center Computational Oncology group (GRCCO) is seeking a highly motivated computational biologistbioinformatics scientist to play an integral role in a multidisciplinary 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 fastpaced and highly collaborative environment to contribute to oncology discovery and clinical development programs (including therapies based on antibodydrug 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 multimodal datasets to derive quantitative biological insights, and communicating scientific findings to project teams.

Top 5 skillsrequirements this person is required

Required Skill 1: NGS analysis (RNAseq, WES, CRISPR screen etc.)

Required Skill 2: R and python

Required Skill 3: experience with HPC clusters, cloud compute, docker containersapptainers or similar

Required Skill 4: data visualization (ggplot2, plotly, etc.)

Required Skill 5: good communication skills

Years of experience, education, andor certification is required

PhD. Degree in bioinformatics, computational biology, statistics, mathematics, computer science, genomics, cancer biology, immunology, or a related field.

Master’s degree with typically 35 years of experience.

Bachelor’s degree with typically 68 years of experience.

Nice to have (but not required)

oncology background, especially in cancer biology, tumor dependencies, signaling pathways

Predictive modeling, machine learning, statistics

Rshiny, data visualization dashboard development

Version control, github, shell

Strong publication record

Support of programs in early to late stage discovery drug pipeline.

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 ondemand 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.