Full-Time

Platform Solutions Engineer

Mithrl

Mithrl

11-50 employees

Generative AI-powered bioinformatics analysis pipelines

No salary listed

San Francisco, CA, USA

In Person

Category
Sales & Solution Engineering (1)
Required Skills
Kubernetes
Docker
CloudFormation
AWS
Terraform
Requirements
  • Strong experience in both solution architecture and DevOps or platform engineering.
  • Deep knowledge of AWS services such as EC2, ECS, EKS, S3, IAM, Batch, Lambda, and VPC networking.
  • Experience designing and deploying scalable, secure cloud architectures for enterprise customers.
  • Proficiency with infrastructure as code tools such as Terraform or CloudFormation.
  • Experience with CI systems, automated testing, and release pipelines.
  • Strong understanding of container technologies and orchestration systems such as Docker and Kubernetes.
  • Ability to build monitoring, logging, and alerting systems using modern tooling.
  • Experience solving complex customer integration problems with empathy and clarity.
  • Strong communication skills and comfort working directly with customers and internal stakeholders.
  • Experience supporting technical products used by scientists or enterprise teams.
Responsibilities
  • Architect technical solutions for customers who integrate Mithrl into their cloud and on-prem environments.
  • Work closely with AEs, customer success, and scientific users to understand customer workflows and design scalable deployment approaches.
  • Build and maintain infrastructure for secure and reliable deployments in AWS, including compute environments, networking, container orchestration, and storage.
  • Manage and improve CI pipelines, automated testing environments, and release processes.
  • Build monitoring, logging, and alerting systems that give engineering and customer success clear visibility into system health.
  • Implement automation for provisioning, configuration management, and environment setup.
  • Support API integration, authentication workflows, and secure data movement between customer systems and Mithrl.
  • Troubleshoot deployment issues and serve as the technical point of contact for complex customer setups.
  • Work with engineering teams to ensure that platform features align with customer infrastructure needs.
  • Contribute to documentation, architectural guidelines, and internal playbooks for deployment and integration.
Desired Qualifications
  • Experience in tech bio, computational platforms, or scientific data environments.
  • Familiarity with security best practices for regulated data or enterprise environments.
  • Experience integrating API based workflows or custom data flows.
  • Knowledge of distributed systems design or high performance compute environments.
  • Experience writing internal tools or automation scripts for engineering teams.

Mithrl provides data-processing services for bioinformatics using Generative AI to speed up the creation of analysis pipelines and the generation of comprehensive reports. Its platform enables clients to obtain ready-to-run pipelines and accompanying white papers or reports through a subscription or order-based model, with pricing tailored to each project. The product works by applying Generative AI and automated workflows to ingest client data, design and run analysis pipelines, and produce structured reports or white papers, all within a transparent, client-controlled environment. Mithrl differentiates itself by focusing on rapid, customized delivery for a niche bioinformatics market, offering tailored content and insights while prioritizing data transparency and avoiding third-party data sharing. The company's goal is to help clients achieve faster, reliable data analysis and documentation through accessible, contract-based services that fit their specific needs.

Company Size

11-50

Company Stage

Seed

Total Funding

$4M

Headquarters

San Francisco, California

Founded

2023

Simplify Jobs

Simplify's Take

What believers are saying

  • Pharma adoption accelerating: biomarker discovery completed in 15 minutes versus traditional months-long workflows.
  • Quality control automation prevents expensive downstream errors, creating sticky, mission-critical workflows in drug discovery.
  • Vertical AI in life sciences attracting institutional capital; $4M seed round signals strong investor confidence in domain-specific solutions.

What critics are saying

  • Open-source competitors Galaxy and Nextflow offer free no-code NGS pipelines, capturing 70% of biotech workflows.
  • Illumina-owned Basepair dominates RNA-seq with integrated hardware bundles, undercutting standalone platforms by 40%.
  • OpenAI o1-pro enables custom RNA-seq pipelines via ChatGPT for $20/month, commoditizing Mithrl's core value proposition.

What makes Mithrl unique

  • Converts months of bioinformatics analysis into minutes with automatic data cleaning and literature integration.
  • Autonomous AI Co-Scientist agents collaborate with researchers, catching errors like mislabeled samples before costly mistakes.
  • No-code platform eliminates need for specialized bioinformatics engineers, democratizing NGS data analysis for pharma teams.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Remote Work Options

Hybrid Work Options

Flexible Work Hours

Paid Vacation

Paid Holidays

Wellness Program

Mental Health Support

Conference Attendance Budget

Professional Development Budget

Stock Options

Company Equity

Phone/Internet Stipend

Home Office Stipend

Growth & Insights and Company News

Headcount

6 month growth

-13%

1 year growth

-20%

2 year growth

-5%
Mithrl
Mar 28th, 2026
An Agentic AI Scientific Decision Engine for Omics: Bridging Core Lab and End User.

An Agentic AI Scientific Decision Engine for Omics: Bridging Core Lab and End User. In service of service labs. Last month, the Mithrl team headed to Pittsburgh for ABRF 2026, the annual meeting of the Association of Biomolecular Resource Facilities. ABRF is where the scientists who run core research facilities come together: the genomics labs, proteomics centers, and shared resource teams that power discovery across academia and biopharma. What makes it special is that it sits at the intersection of cutting-edge science and real-world execution. The people in the room aren't just talking about new technologies; they're the ones actually running the experiments. Its scientific poster. Mithrl Inc. were honored to be selected for a scientific poster, An Agentic AI Scientific Decision Engine for Omics: Bridging Core Lab and End User, authored and presented by, Ada Shaw, PhD, Scientific Partnerships Lead at Mithrl. Poster background: challenges. - Data complexity ≠ clearer outcomes for investigators - Bioinformatics & biology expertise rarely coexist - AI outputs: hard to verify, reproduce, or operationalize Solution: Mithrl Scientific Decision Engine. Raw Reads to Defensible Decisions; Transparent · Accurate · Reproducible Mithrl is a Scientific Decision Engine that compresses the discovery loop for pharma R&D. Mithrl may also be applied to service lab operations, to deliver data to clients in a ready-for-insights mode, with no coding or configuration required. With Mithrl[[ʼ]]s enterprise-ready agentic AI systems, bench scientists and computational biologists can accelerate analyses and contextualize results with rigorous biological insights. Mithrl enables researchers to discover new biomarkers, identify new therapeutic targets, and understand mechanisms of action, moving from raw data to reproducible insights and defensible IP opportunities. Conversations and community continue. Download its scientific poster from the recent ABRF conference in Pittsburgh, PA. Connect with Mithrl Inc. to discuss the Mithrl Scientific Decision Engine and how your discovery or services lab could gain a competitive edge in speed and delivering depth of actionable insights.

FinSMEs
Nov 15th, 2024
Mithrl Inc. raises $4M Seed Funding

Mithrl, a San Francisco-based AI platform provider for scientific research, raised $4M in Seed funding led by Bonfire Ventures. The funds will be used to expand their go-to-market team and enhance their platform, which aids pharmaceutical and biotech firms in accelerating drug discovery. The platform allows rapid RNA sequencing data analysis without coding, enabling scientists to validate findings.