Aptask Global Workforce (AGW) is seeking a Scientist for an on-site position with a Global Biotechnology Company located in Cambridge, MA. This is an 18 month contract opportunity. This role supports a Principal Scientist in the Discovery Genomics team and will contribute to higher throughput, improved data management, and faster turnaround for projects. The ideal candidate will be comfortable supporting established bioinformatics workflows in a highly operational environment, focusing on computational pipelines, metadata handling, and QC-focused support work.
Responsibilities: - Support routine computational analysis of functional genomics and transcriptomics datasets using established internal pipelines and reporting systems
- Assist with experimental registration, source sample tracking, and data management for NGS-based workflows to ensure data retention, visibility, and accessibility
- Manage workflow and data entry in Benchling OEMS for pooled gene perturbation, amplicon-seq, bulk RNA-seq, and related NGS experiments
- Process pooled genomic perturbation screen data, including raw FASTQ files, using established NextFlow pipelines
- Support future arrayed perturbation screening efforts by running established analytical pipelines
- Process Perturb-seq datasets by converting raw FASTQ files into count tables using established Cell Ranger workflows
- Support bulk RNA-seq routine by downloading data from CROs and processing samples through the internal bulk RNA-seq pipeline
- Assist with transcriptomic assessment of edited clones using existing analysis pipelines
- Partner closely with the manager and team members to prioritize analyses, troubleshoot routine issues, and ensure timely project completion
- Maintain organized records of analyses, inputs, outputs, and reports to support reproducibility and data integrity
Requirements: - Doctorate degree OR Master's degree and 2 years of experience OR Bachelor's degree and 4 years of experience in bioinformatics, computational biology, genomics, genetics, biology, data science, or a related discipline
- Familiarity with NGS data types, including pooled gene perturbation screens, bulk RNA-seq, amplicon-seq, Perturb-seq, or other functional genomics workflows
- Experience running established computational pipelines and working with structured data outputs
- Familiarity with sequencing file formats and analysis outputs, including FASTQ files and count matrices
- Strong attention to detail and commitment to data integrity, reproducibility, and documentation
- Ability to work independently on routine analyses while communicating regularly with the manager and project teams
- Strong written and verbal communication skills
Desired skills: - Experience with Benchling, sample tracking systems, or other experimental registration/data management platforms
- Experience working in Unix/Linux environments and cloud-based computing platforms, including AWS
- Basic programming or scripting experience in R, Python, or shell scripting
Pay range: $37.95 - $42.16 per hour Only candidates available and ready to work directly as Aptask Global Workforce (AGW) employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, apply today! Aptask Global Workforce (AGW) ApTask Global Workforce (AGW) is a certified Minority and Veteran workforce solutions company. AGW delivers operational, clinical, lab and professional talent with a strong focus on healthcare and life sciences. The company supports clients with reliable staffing, program expertise and a commitment to quality, speed and consistent delivery.
Benefits of working with ApTask Global Workforce include: - Medical
- Dental
- Vision
- Sick Pay (for applicable states/municipalities)
Our team stays close to the process and is here to guide you every step of the way. To learn more, please visit our website ;br>
ApTask Global Workforce is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.
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