Senior Computational Scientist

Hello Team

Please find below JD for below we need to close this role asap.

End Client- Neo Genomics

PSL/Neo Genomics _

Senior Computational Scientist _ UK remote

Rate As per market standards .

Below is the detailed Questionnaire and JD.

1. Research / Productization / Computational Algorithms - where's the focus?
Primarily early-stage research and computational algorithm innovation , not productization. The role sits in R&D, is explicitly scoped to "prototyping data analysis solutions for the early R&D phase," and emphasizes "novel methodologies and algorithms," "first implementation" of pipelines, and "innovative in-silico solutions." Productization is downstream - this role shapes product direction and hands off/supports development teams, but production-grade engineering isn't the core job. Think: algorithm invention and feasibility, with enough product awareness to make prototypes translatable.

2. Percentage split: hands-on coding / scientific strategy / stakeholder engagement? (Should ask)
The JD doesn't give percentages, so this would be a question for the hiring manager. Reading the responsibilities, a reasonable inference is roughly 50 60% hands-on computational work (analysis, algorithm creation, pipeline prototyping - programming proficiency is listed as Essential), 20 25% scientific strategy (advising on technology assessment, tracking trends, proposing new diagnostic approaches, competitor/market insights), and 15 25% stakeholder engagement (working with PMO, BD, legal, assay development, and external parties). The "Advisor" designation means the strategy/engagement share is higher than a typical senior scientist role, but the Essential requirements make clear this is still a builder's job.

3. Minimum acceptable alternative to a PhD?
The JD says "PhD... or significant experience in that space," and the Experience section defines the bar: 8+ years of bioinformatics experience (Essential) , with proficiency in scientific programming, a proven track record creating algorithms/pipelines/analytical solutions, hands-on large-scale omics/clinical data analysis (NGS preferred), and experience as a computational technical lead supervising project execution. In practice, a Master's (or even a Bachelor's) in computational biology/bioinformatics plus 8+ years of demonstrable industry R&D and technical-lead experience would likely be the realistic floor - the deciding factor is the track record, not the degree.

4. Advisor title + IC role: technical leadership only, or people management needed?
The expectation is technical leadership and scientific influence, not people management . It's explicitly an Individual Contributor reporting to the VP of Computational Science, and nothing in the JD mentions direct reports, hiring, or performance management. What it does require is project-level leadership: "experience in supervising project execution... as computational technical lead" (Essential) and "adopting a technical lead role in discussion, planning, execution and interpretation." So candidates need to show they've led work and influenced cross-functionally - but leading people as a manager is neither required nor part of the role.

5. Is regulated diagnostics (IVD/LDT/FDA/CE) experience required?



Not required - strong research and innovation experience is sufficient. The only regulated-product-adjacent item is "proven track record of creating best-in-class diagnostic product," and it's marked Desired , not Essential. All Essential criteria are about bioinformatics depth, algorithm creation, large-scale omics data analysis, and technical leadership. That said, since this is a cancer diagnostics company (NeoGenomics), familiarity with the diagnostics domain would be a meaningful differentiator between otherwise comparable candidates, even if formal IVD/LDT/regulatory experience isn't a gate.

Job Title: Senior Computational Scientist

Level: Advisor, Individual Contributor

Exemption Status : N/A

Department: R&D

Reports To: VP of Computational Science

Date Prepared: November 2024

Date Revised : N/A

Summary: The Senior Computational Scientist is an expert in developing innovative bioinformatics algorithms and pipelines and prototyping data analysis solutions for the early R&D phase. As an advisor level, the individual interacts with internal and external stakeholders to design, present and formalize key concepts and solutions, adopting a technical lead role in the discussion, planning, execution and interpretation of the related work.

This work shapes the product development direction that NeoGenomics will undertake and influences the future generations of diagnostics and cancer management. To this purpose, this role works closely with the assay development team, the broader Bioinformatics and Software team, and all functional areas involved into specific projects.

Responsibilities:

Core Responsibilities:

• Contribute to the development of novel methodologies and algorithms.
• Perform computational analysis from new and custom assay prototypes (e.g., NGS-based assays).
• Provide innovative in-silico solution to investigate or interpret existing and novel data, using internal or external data sources.
• Provide first implementation of Bioinformatics pipeline to aid initial product investigation.
• Contribute to the Company's competitiveness in developing cutting-edge technology.
• Serve as an advisor for organization's assessment of innovative technologies in cancer diagnostics.
• Provide experts technical guidance internally and externally to all stakeholders, including discussions with the PMO, BD and legal departments concerning the creation and assessment of new technologies.
• Stay up to date on technological advances and industry trends.
• Drive overall company growth and profitability via innovative product creations.

Additional Responsibilities:

• All other duties as assigned.

Position Objectives:

• Contribute to the proposal of new cancer diagnostic approaches by playing a pioneering and cross-functional role with key internal and external stakeholders.
• Contribute to the generation of insights from related literature/conferences/webinars and from competitors/market analysis.
• Supports development and production teams in challenging scenarios.
• Communicates effectively with all levels of staff across NeoGenomics' global sites.
• Adheres to NeoGenomics Laboratories core values, safety, compliance, and Company policies and procedures

Education: PhD in the field of computational biology/bioinformatics, or significant experience in that space. Industry exposure in the R&D setting advantageous.

Experience:

• Proficiency with scientific programming (e.g., R or Python) with focus on solving problems and providing solutions (Essential).
• Significant (8+ years) experience in Bioinformatics (Essential).
• Experience in supervising project execution for the creation of products/algorithms as computational technical lead (Essential).
• Proven track record in creating algorithms, pipelines, or custom analytical solutions (Essential).
• Hands on experience with analysis and interpretation of large scale clinical, biological/omics or drug data sets, with a preference for NGS/genomic/transcriptomics data (Essential).
• Proven track record of creating best-in-class diagnostic product (Desired).
• Experience in working with workflow management systems for pipelines prototyping (Desired).
• Experience in developing software/scripts for distributed computing, especially cloud, preferentially for computational biology applications (Desired).

Qualification Requirements:

• Must possess excellent communications skills, both written and verbal.
• Must be able to work independently and within a team environment, requiring minor supervision.
• Must be able to express opinions clearly and concisely.
• Must be a motivated, energetic, self-starter with a progressive and flexible work style.
• Must be willing to take an innovative and proactive approach to defining problems and identifying and implementing solutions.
• Must be able to deal tactfully with co-workers.
• Must demonstrate professionalism, maturity, and alignment with the company's mission and principles.

Certificate Compliance Requirements: No certification required.

Travel Required: Limited.