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Computational Biologist & Genomics Analyst (Remote)

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Role: Computational Biologist & Genomics Analyst (Remote)
Location: Remote (Work from Anywhere)
Job Type: Contract
Payout: $40 - $60/hour
Role Overview:
We are hiring for one of our clients seeking a Computational Biology & Genomics Analyst to analyze genomic data, interpret biological significance, and develop computational models for precision medicine applications. The role involves processing large-scale sequencing datasets to identify biomarkers and therapeutic targets while collaborating with cross-functional teams to translate findings into actionable insights.
Key Responsibilities:
- Process and analyze next-generation sequencing (NGS) data, including WGS, WES, and RNA-Seq, using standardized bioinformatics pipelines.
- Interpret genomic variants and their implications for disease mechanisms, drug responses, or patient stratification.
- Develop and validate machine learning models to predict clinical outcomes from genomic and phenotypic data.
- Generate reproducible research outputs, including reports, visualizations, and statistical summaries for stakeholders.
- Stay current with emerging computational biology tools and genomic databases to enhance analytical methodologies.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Skills & Qualifications:
- Proficiency in programming languages such as Python or R for genomic data analysis and statistical modeling.
- Experience with bioinformatics tools (e.g., GATK, BWA, STAR, DESeq2) and databases (e.g., ClinVar, TCGA, gnomAD).
- Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) applied to biological datasets.
- Familiarity with cloud computing platforms (e.g., AWS, GCP) for scalable genomic data processing.
- Strong background in computational biology, genomics, or a related quantitative field (e.g., bioinformatics, systems biology).


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More About the Opportunity:
This role offers the chance to contribute to groundbreaking research in precision medicine, leveraging advanced computational techniques to impact patient care globally. The contract includes access to high-performance computing resources and collaboration with domain experts in genomics and clinical research.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
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