HireMO

Job Description

The opportunity Oracle is seeking a senior pre-sales engineer with expertise in genomics, software engineering, and applied AI/ML. You will help molecular diagnostics companies, genomics platform providers, biotechnology and pharmaceutical companies, research institutions, and genomics laboratories evaluate and adopt Oracle Cloud Infrastructure (OCI) compute, networking, and storage for genomic discovery, precision medicine, and therapeutic research. Partnering with sales, you will translate scientific and business requirements into cloud architectures, demonstrations, and proofs of concept that help win OCI infrastructure business and establish a path to production. What you will do

+ Design and demonstrate genomic analysis workflows, including WGS/WES germline and somatic variant calling, bulk RNA-seq, and single-cell analysis. Apply appropriate quality control, processing, and interpretation methods for each data type.

+ Design computational solutions for functional genomics and genome engineering research, including CRISPR screen analysis, gene regulation, perturbation response, and therapeutic target identification and prioritization. Partner with experimental scientists to connect model predictions with biological validation.

+ Develop and evaluate AI/ML approaches for variant prioritization, multi-omics integration, biomarker discovery, and genotype-phenotype modeling. Assess genomic foundation models and sequence-based deep learning where they address a defined scientific question.

+ Build reproducible pipelines using Python or R, workflow orchestration, containers, version control, and automated testing. Integrate sequencing platforms, laboratory information management systems, sample metadata, and downstream analytical applications.

+ Architect CPU and GPU computing, storage, networking, and data platforms on OCI. Benchmark accelerated genomics and model training or inference against customer baselines for accuracy, throughput, turnaround time, and cost per sample.

+ Establish sound model evaluation with appropriate cohort separation, controls for data leakage and batch effects, subgroup analysis, and uncertainty assessment. Maintain data provenance, pipeline and model versioning, and reproducibility.

+ Lead customer workshops, demonstrations, and proofs of concept with agreed success criteria. Communicate findings, architecture tradeoffs, costs, and recommendations through presentations and written proposals that secure competitive technical wins and support sales closure and production planning.

+ Partner with sales, product, and engineering teams; advise scientific and executive stakeholders; mentor colleagues; and publish reusable architectures, solution code, and technical content. Bring customer requirements into product roadmap discussions.

Required qualifications

+ Eight or more years of relevant technical experience combining hands-on expertise in genomics or molecular biology with cloud or high-performance computing infrastructure engineering.

+ Demonstrated ability to build and troubleshoot genomic analysis workflows, with a strong understanding of sequencing data, genomic variation, statistical analysis, and the biological interpretation of results.

+ Strong programming skills in Python and working proficiency in R or an equivalent scientific computing language. Experience with Linux, Git, containers, and workflow tools such as Nextflow, WDL/Cromwell, or Snakemake.

+ Practical experience developing, evaluating, or deploying machine learning models for biological or other complex scientific datasets, using frameworks such as PyTorch, TensorFlow, or scikit-learn.

+ Hands-on experience designing cloud or high-performance computing solutions for genomic or molecular workloads, including compute, networking, and storage sizing, workflow scheduling, security, performance optimization, and cost management.

+ Demonstrated executive presence, strong interpersonal skills, and excellent verbal and written communication, including in-person presentations to customer executives and compelling executive-level written proposals and recommendations. Able to translate complex scientific and technical requirements into actionable recommendations, build trusted relationships with researchers and senior decision-makers, and connect technical tradeoffs to business priorities, costs, and measurable outcomes.

+ Ability to travel up to 50 percent domestically and internationally.

Preferred qualifications

+ Bachelor's degree in bioinformatics, computational biology, computer science, genetics, engineering, mathematics, or a related field, or equivalent relevant experience. An advanced degree in a relevant field is highly desirable.

+ Depth in one or more areas: population or translational genomics; oncology and liquid biopsy; rare disease analysis; single-cell or spatial omics; epigenomics and 3D genome biology; or CRISPR and perturbation-based functional genomics.

+ Experience with tools such as GATK, DeepVariant, NVIDIA Parabricks,Illumina DRAGEN, or comparable genomics software; GPU acceleration; distributed computing; and large-scale genomic datasets.

+ Experience adapting genomic or biological foundation models, integrating multimodal biological data, or building evidence-grounded AI assistants for scientific workflows.

+ Familiarity with OCI or another major cloud platform, Kubernetes, infrastructure as code, experiment tracking, and model deployment and monitoring.

+ Experience supporting sensitive genomic data with access controls, encryption, audit trails, consent-aware data use, and customer validation requirements.

+ Customer-facing solution architecture, technical consulting, or presales experience, including proofs of concept and successful transitions to production.

What success looks like

Customers select and adopt OCI compute, networking, and storage based on demonstrated scientific value and a compelling business case. Proofs of concept meet agreed success criteria, demonstrate measurable improvements against customer baselines, and establish a credible path to production. Technical wins translate into closed sales and growing OCI consumption. Reusable solutions accelerate subsequent customer evaluations and adoption.

Responsibilities

+ Design and demonstrate genomic analysis workflows, including WGS/WES germline and somatic variant calling, bulk RNA-seq, and single-cell analysis. Apply appropriate quality control, processing, and interpretation methods for each data type.

+ Design computational solutions for functional genomics and genome engineering research, including CRISPR screen analysis, gene regulation, perturbation response, and therapeutic target identification and prioritization. Partner with experimental scientists to connect model predictions with biological validation.

+ Develop and evaluate AI/ML approaches for variant prioritization, multi-omics integration, biomarker discovery, and genotype-phenotype modeling. Assess genomic foundation models and sequence-based deep learning where they address a defined scientific question.

+ Build reproducible pipelines using Python or R, workflow orchestration, containers, version control, and automated testing...

Apply Externally

Jobs

Cloud Solution Engineer (Genomics & AI)

Summary

You Need a MO Jobs Account First

Jobs

Jobs

Cloud Solution Engineer (Genomics &amp; AI)

Summary

Do You Have a MO Jobs Account?

First, Let's Find Your MO Jobs Account

Create an Account to Apply

You Need a MO Jobs Account First

HireMO Terms of Use

1. Acceptance and Changes

2. A No-Cost Public Workforce Service

3. Eligibility, Youth, and Authority

4. Accounts and Security

5. Accuracy Attestation and Program Information

6. Job Seeker Terms

7. Employer Terms

8. Assessments and Matching

9. Artificial Intelligence Features

10. Public Records and Required Notices

11. User Content and Permissions

12. Acceptable Use

13. Intellectual Property and Government Marks

14. Other Users and Third-Party Services

15. Electronic Communications

16. Suspension, Termination, and Records

17. Disclaimers

18. Limitation of Liability and Sovereign Immunity

19. Employer Indemnification

20. Governing Law and General Terms

21. Contact, Accessibility, and Complaints

Cloud Solution Engineer (Genomics & AI)