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Signature Biologics Jobs (NOW HIRING)

Transcripta Bio

Computational Biologist

Palo Alto, CA · On-site

Analyze data from drug perturbation screens to identify transcriptomic signatures, compound-gene ... PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of ...

Foundation Medicine

Computational Biologist I

Boston, MA · Hybrid

$112K - $133K/yr

The Computational Biologist I contributes to the early innovation of novel bioinformatics methods and genomic signatures in oncology. Leveraging Foundation Medicine's FoundationCORE dataset of 800 ...

Foundation Medicine

Computational Biologist I

Boston, MA · Hybrid

$112K - $133K/yr

About the Job The Computational Biologist I contributes to the early innovation of novel ... Develop and evaluate potential signatures and biomarkers using large-scale datasets; investigate ...

Signature Healthcare

MT/MLT

Brockton, MA · On-site

Signature Healthcare's Brockton Hospital is hiring for a Medical Technologist (MT)/Medical ... Associates degree in a chemical, biological or physical science or medical technology with at least ...

Signature Healthcare

MT/MLT

Brockton, MA · On-site

Signature Healthcare's Brockton Hospital is hiring for a Medical Technologist (MT)/Medical ... Associates degree in a chemical, biological or physical science or medical technology with at least ...

Signature Healthcare

MT/MLT

Brockton, MA · On-site

Signature Healthcare's Brockton Hospital is hiring for a Medical Technologist (MT)/Medical ... Associates degree in a chemical, biological or physical science or medical technology with at least ...

Signature Health Inc

Courier, Pharmacy- PRN

Kirtland, OH · On-site

$15 - $18.50/hr

Description At Signature Health, our purpose is to provide integrated healthcare for our community ... Able to lift 50 lbs. on occasion required. * 1+ years' experience in transporting biological ...

Signature Health Inc

Courier, Pharmacy- PRN

Kirtland, OH · On-site

$15 - $18.50/hr

Job Type Part-time Description At Signature Health, our purpose is to provide integrated healthcare ... Able to lift 50 lbs. on occasion required. * 1+ years' experience in transporting biological ...

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Signature Biologics information

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How much do signature biologics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for signature biologics in the United States is $21.84, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.76 per hour, depending on experience, location, and employer.

What is the difference between Signature Biologics vs Medical Laboratory Technician?

AspectSignature BiologicsMedical Laboratory Technician
Required CredentialsBiologics manufacturing certification, scientific degreeAssociate degree in medical laboratory technology, certification
Work EnvironmentBiotech manufacturing facilities, research labsHospital labs, diagnostic laboratories
Industry UsageBiopharmaceuticals, biotech companiesHealthcare, clinical diagnostics

Signature Biologics professionals focus on biologics production and research within biotech settings, requiring specialized certifications. Medical Laboratory Technicians work primarily in clinical labs, performing diagnostic tests. While both roles involve laboratory work, Signature Biologics roles are more research and manufacturing-oriented, whereas Medical Laboratory Technicians support patient care through diagnostics.

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What states have the most Signature Biologics jobs?

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Signature Biologics jobs near you
Infographic showing various Signature Biologics job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $45,431 per year, or $21.8 per hour.

Computational Biologist

Transcripta Bio

Palo Alto, CA • On-site

Full-time

Re-posted 28 days ago

Job description

About Transcripta Bio
Transcripta Bio is a preclinical-stage AI drug discovery company pioneering a patient-first approach to therapeutics. Headquartered in Palo Alto, CA, we have built a proprietary closed-loop discovery engine - comprising our Disease Signature Atlas, Drug-Gene Atlas, and Conductor AI platform - that integrates single-cell patient transcriptomics, causal human genetics, and pre-validated chemistry to identify and advance drug candidates with a structural edge over conventional approaches.
WHAT YOU'LL DO
  • Develop, maintain, and optimize reproducible bioinformatics pipelines for processing, QC, and analysis of high-throughput datasets, including bulk RNA-seq, single-cell RNA-seq, and high-content imaging data.
  • Analyze data from drug perturbation screens to identify transcriptomic signatures, compound-gene associations, and patterns of drug response across disease-relevant cell models.
  • Integrate data across multiple experimental modalities (transcriptomics, imaging, protein measurements) to build a coherent picture of biology and prioritize therapeutic hypotheses.
  • Partner with wet lab scientists to help design experiments, define data standards, troubleshoot data quality issues, and ensure clean handoffs between experimental and computational workflows.
  • Contribute to the curation and expansion of the Drug-Gene Atlas: ensure that data inputs are well characterized, analysis methods are calibrated, and outputs are interpretable and reliable.
  • Communicate findings clearly through reports, visualizations, and presentations to both computational and non-computational colleagues.
  • Stay current with advances in transcriptomics, single-cell methods, and computational biology; evaluate and adopt new tools and approaches where they add value.
  • Contribute to code review, documentation, and best practices as the team grows.

WHAT YOU'LL BRING
  • PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of relevant experience in industry.
  • Extensive hands-on experience processing and analyzing bulk and/or single-cell RNA-seq data, from raw reads through QC, normalization, dimensionality reduction, clustering, and differential expression.
  • Experience in relevant scientific packages (e.g., scanpy, pandas, numpy, DESeq2, ggplot2) and comfort working in a Linux/command-line environment. Strong programming proficiency in Python and/or R is a plus
  • Experience building and running reproducible workflows using tools such as Snakemake, Nextflow, or equivalent; familiarity with version control (Git) and best practices for collaborative code development.
  • Exposure to high-throughput or perturbational screening datasets (chemical, genetic, or combined) is highly desirable.
  • A biologically grounded mindset: you approach data with mechanistic questions in mind, not just statistical outputs.

NICE TO HAVE
  • Experience analyzing data from functional genomics assays (e.g., ATAC-seq, ChIP-seq, perturb-seq, or pooled CRISPR screens).
  • Familiarity with spatial transcriptomics or multimodal data integration approaches.
  • Experience working with or alongside ML/AI teams; familiarity with applying machine learning methods to biological data.
  • Background in rare genetic disease, neurodegeneration, or other genetically defined disease areas.
  • Experience in cloud-based compute environments (AWS, GCP, or equivalent)

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