Exocortex Opportunity Sweep

2026-05-23. Public-source scan for remote AI, bioinformatics, clinical informatics, scientific software, and automation roles. This is an intelligence digest, not an auto-apply system.

Signal Summary

• Sources checked: 9
• Raw jobs found: 376
• Deduped jobs: 376
• Filtered jobs: 25
• Strong matches: 5
• Possible matches: 5
• Average reviewed fit: 38/100
• LLM status: partial_fallback

Top Opportunities

1. Senior Agentic Systems Engineer

• Company: Natera
• Source: Greenhouse
• Remote/location: true / US Remote
• Compensation: unknown
• Fit score: 90/100
• Verdict: strong_match
• Matched signal: AI orchestration, Agentic systems, LLM, Molecular Therapeutics, Python, AI agent orchestration, Model Context Protocol (MCP), containerized services, AWS, Terraform, security and isolation, Human-in-the-Loop, data foundations, clinical insights, scientific innovation
• Score readout: skill 95, mission 95, salary 0, remote 100, novelty 35, risk 10

Why it matches

• Filippo has experience in molecular technologist and clinical science, which aligns with Natera's focus on molecular therapeutics and clinical data.
• The role requires AI agentic systems, LLM orchestration, and Python—core skills Filippo has developed in AI, ML, and bioinformatics.
• Filippo's background in lab automation and scientific software directly supports the technical responsibilities of building agent orchestration platforms.

Posting evidence

• POSITION SUMMARY: Join Natera’s Therapeutics & Innovations group as a Senior Agentic Systems Engineer to build Artificial Intelligence (AI) orchestration platforms.
• You will design, scale, and deploy generative AI (GenAI) and Large Language Model (LLM) agentic systems that leverage our multimodal data to advance therapeutic development.
• Every sample and data point represents a real person, and the data foundations you build will directly support clinical insights and scientific innovation.

Resume angle: Position Filippo as a clinical AI systems engineer with deep roots in molecular science and lab automation, leveraging his background to bridge clinical data with AI agent platforms.

Outreach angle: Highlight how his experience in clinical workflow engineering and scientific software directly enables the design of secure, scalable AI agent systems for real-world patient data in therapeutic development.

Open questions

• Compensation is not explicit; verify range before investing time.

2. Senior Software Engineer

• Company: Natera
• Source: Greenhouse
• Remote/location: unknown / Austin, TX
• Compensation: unknown
• Fit score: 85/100
• Verdict: strong_match
• Matched signal: clinical genomics, laboratory information management system (LIMS), automation, software development, bioinformatics, R&D, high-performance computing, scalable platform, software architecture
• Score readout: skill 95, mission 90, salary 0, remote 0, novelty 35, risk 10

Why it matches

• Filippo has experience in clinical science, molecular technology, and lab automation, which aligns with the role's focus on clinical genomics and lab automation integration.
• The job involves software design, automation, and integration with LIMS and bioinformatics — directly matching Filippo's background in molecular technologist and lab automation.
• The role emphasizes R&D, bioinformatics, and high-performance computing, which aligns with Filippo's pivot into bioinformatics and AI systems.

Posting evidence

• This team is dedicated to developing a scalable and robust platform that will underpin Natera's next generation of clinical assays.
• You will be instrumental in the design, development, and architecture of software products relevant to the clinical laboratory, while also contributing to cutting-edge R&D, bioinformatics, and high-performance computing initiatives.
• PRIMARY RESPONSIBILITIES Design, develop, and build systems that integrate software, automation, and biology to create a robust and scalable clinical genomics assay platform.

Resume angle: Position aligns with Filippo's pivot into AI and bioinformatics systems, particularly in clinical lab automation and software integration. His background in molecular technology and clinical workflow engineering supports the role's technical and scientific demands.

Outreach angle: Highlight shared focus on clinical genomics, lab automation, and software integration. Emphasize experience in bridging software with biological workflows and LIMS systems to demonstrate relevance.

Open questions

• Compensation is not explicit; verify range before investing time.
• Remote status is not fully explicit; verify geography and travel expectations.

3. AI Engineer

• Company: Natera
• Source: Greenhouse
• Remote/location: true / US Remote
• Compensation: unknown
• Fit score: 85/100
• Verdict: strong_match
• Matched signal: AI Engineer, AI products, oncology, clinical workflows, LLMs, agent-based workflows, AI foundation models, commercialize AI, end-to-end deployment, AI products for providers
• Score readout: skill 80, mission 90, salary 0, remote 100, novelty 35, risk 10

Why it matches

• Filippo has experience in clinical science and molecular technology, which aligns with the oncology and clinical workflow focus of the role.
• The role involves building AI products for providers and commercializing AI foundation models, which matches Filippo's pivot into AI systems and scientific software.
• The job requires AI/ML and LLM-powered products in production — Filippo's background in bioinformatics and lab automation supports this domain.

Posting evidence

• AI Engineer, Provider & Oncology Innovation Location: US Remote The Role This is a high-autonomy, high-agency position for a builder who thrives in ambiguity and wants to ship AI products that directly impact cancer care.
• Your work will span two critical domains: 1.
• AI Products for Providers Design and ship AI-powered experiences for oncologists and clinical teams.

Resume angle: Position as an AI Engineer in a clinical AI context where my background in clinical science and molecular technology enables deep domain understanding and rapid iteration of AI solutions in oncology care.

Outreach angle: I am a clinical scientist and molecular technologist transitioning into AI systems and scientific software. I am excited by the opportunity to build AI-powered clinical tools that improve oncology care — particularly in agent-based workflows and clinical workflow automation — and would welcome the chance to discuss how my background in clinical operations and lab science can support your AI product development.

Open questions

• Compensation is not explicit; verify range before investing time.

4. Director, Forward Deployed AI Engineering

• Company: Natera
• Source: Greenhouse
• Remote/location: true / US Remote
• Compensation: unknown
• Fit score: 85/100
• Verdict: strong_match
• Matched signal: AI engineering, workflow transformation, hands-on contributor, building agents and automation pipelines, debugging integration issues, production, forward deployed, AI-powered workflows, remote
• Score readout: skill 80, mission 90, salary 0, remote 100, novelty 35, risk 10

Why it matches

• Filippo has experience in clinical workflows, lab automation, and scientific software — all of which align with the 'forward deployed AI engineering' focus on real-world workflow transformation.
• The role requires hands-on building and debugging of AI-powered workflows, which matches Filippo's background in molecular technology and clinical systems.
• The emphasis on production-grade AI, observability, and integration aligns with his technical depth in lab automation and bioinformatics.

Posting evidence

• About the Role The Head of AI Solutions will lead a Forward Deployed AI engineering team and owns the delivery of AI-powered workflow transformation across Sales & Marketing, Finance, Legal, HR, Business Development, Business Operations and other related G&...
• This is a player-coach role in the truest sense: you lead a team of Forward Deployed AI Solutions Engineers, but you are also consistently in the work alongside them — scoping workflows, building, debugging, and iterating in production.
• We believe the pace of change in AI makes proximity to the work non-negotiable at every level of the organization.

Resume angle: Position Filippo as a bridge between clinical systems and AI-driven automation, emphasizing his experience in clinical workflow engineering and lab automation as foundational to AI workflow design.

Outreach angle: Highlight how his background in clinical science and molecular technology enables him to deeply understand and build AI solutions that operate in real-world, high-stakes environments — directly relevant to Natera's mission in clinical AI and diagnostics.

Open questions

• Compensation is not explicit; verify range before investing time.

5. Staff Scientist, R&D

• Company: Natera
• Source: Greenhouse
• Remote/location: unknown / Austin, TX
• Compensation: unknown
• Fit score: 85/100
• Verdict: strong_match
• Matched signal: NGS assay development, high throughput automation, data analysis (Python, R, JMP), bioinformatics, lab automation, clinical assays, cross-functional team, molecular biology, assay validation, quality standards
• Score readout: skill 92, mission 90, salary 0, remote 0, novelty 35, risk 10

Why it matches

• Filippo has experience in molecular biology, NGS assay development, and high-throughput automation, which aligns directly with the job's primary responsibilities.
• The role emphasizes NGS-based assays, automation, and data analysis using Python, R, and JMP — skills Filippo has demonstrated in his profile.
• The job involves cross-functional collaboration with bioinformatics, automation, and clinical operations — areas where Filippo has expertise in bioinformatics, lab automation, and clinical workflow engineering.

Posting evidence

• POSITION SUMMARY: We are looking for a highly motivated Staff Scientist within the Molecular Biology product development team to join a cross-functional team of scientists who are tasked with developing and advancing Natera’s oncology product portfolio.
• The ideal candidate is a driven professional who maintains broad knowledge of state-of-the-art principles and theories with an in-depth understanding of applicability to oncology research.
• We are looking for a meticulous and dedicated scientist with experience in both NGS assay development and high throughput automation that can work effectively in a fast-paced environment to ensure that the highest quality clinical assays are developed and l...

Resume angle: Position as a technical lead in NGS assay development and automation, leveraging expertise in molecular technology and bioinformatics to drive innovation in oncology diagnostics.

Outreach angle: Highlight shared focus on NGS, automation, and clinical assay development; position as a bridge between molecular science and scalable AI-driven lab systems.

Open questions

• Compensation is not explicit; verify range before investing time.
• Remote status is not fully explicit; verify geography and travel expectations.

6. Director, Translational Sciences

• Company: Natera
• Source: Greenhouse
• Remote/location: true / US Remote
• Compensation: unknown
• Fit score: 75/100
• Verdict: possible_match
• Matched signal: immuno-oncology, functional validation, immunogenicity, mechanism of action, T-cell assays, high-throughput screening, molecular therapeutics, wet-lab, external partnerships, CRO, translational research, biomarkers, patient-derived samples
• Score readout: skill 70, mission 85, salary 0, remote 100, novelty 35, risk 25

Why it matches

• Filippo has experience in clinical science and molecular technology, which aligns with translational validation and functional assays in immuno-oncology.
• The role involves leading external partnerships and building internal wet-lab capabilities, which overlaps with Filippo's background in lab automation and clinical workflow engineering.
• The job requires deep scientific expertise in immunology and assay development, which is adjacent to his bioinformatics and molecular technology background.

Posting evidence

• POSITION SUMMARY: Lead translational functional validation for Natera’s Therapeutics & Innovations group.
• You will direct external Contract Research Organization (CRO) and academic partnerships to advance our immuno-oncology therapies, generating the decision-enabling data needed to move from pre-clinical research to clinical impact.
• Every sample represents a real person, and the data you generate will directly shape therapeutic development.

Resume angle: Position leverages Filippo's clinical science and molecular technology background in translational research, particularly in assay development and partner management. His experience in lab automation and clinical workflow can support operational aspects of the role, though the AI/ML integration is not central.

Outreach angle: Highlight shared interest in translational science and data-driven validation. Position Filippo as a bridge between clinical science and data-driven discovery, emphasizing his experience in clinical workflows and lab automation to support the wet-lab and partner management aspects of the role.

Open questions

• Compensation is not explicit; verify range before investing time.

7. Head of Data Engineering & Platform, Real-World Data (RWD)

• Company: Natera
• Source: Greenhouse
• Remote/location: unknown / San Carlos, CA
• Compensation: unknown
• Fit score: 75/100
• Verdict: possible_match
• Matched signal: data engineering, data platform, real-world data, bioinformatics, data delivery, data marts, data products, engineering leadership
• Score readout: skill 70, mission 80, salary 0, remote 0, novelty 35, risk 15

Why it matches

• Filippo has experience in clinical workflow engineering and bioinformatics, which aligns with RWD platform development and data engineering in healthcare.
• The role requires leadership in data engineering and platform development, which matches Filippo's background in molecular technologist and scientific software.
• The job involves partnership with bioinformatics and AI teams, which aligns with Filippo's pivot into AI and bioinformatics.

Posting evidence

• Head of Data Engineering & Platform, Real-World Data (RWD) POSITION SUMMARY Natera is seeking a leader to head Data Engineering and Platform for Real-World Data (RWD).
• This role will in partnership with Product drive the strategy and roadmap for the RWD platform and lead the development, operation, and delivery of data products that support clinical, research, and business priorities.
• The ideal candidate brings strong engineering leadership, deep technical expertise, and experience building reliable, scalable data platforms in healthcare or life sciences environments.

Resume angle: Position aligns with Filippo's background in clinical and molecular data systems; emphasize leadership in data platform development and cross-functional collaboration with bioinformatics and AI teams.

Outreach angle: Highlight experience in clinical data systems, lab automation, and scientific software as transferable to RWD platform engineering and data delivery in a healthcare context.

Open questions

• Compensation is not explicit; verify range before investing time.
• Remote status is not fully explicit; verify geography and travel expectations.

8. DevOps Engineer

• Company: Natera
• Source: Greenhouse
• Remote/location: true / US Remote
• Compensation: unknown
• Fit score: 65/100
• Verdict: possible_match
• Matched signal: bioinformatics, CI/CD, Terraform, Docker, Kubernetes, GCP, AWS, automation, infrastructure-as-code, regulatory compliance, deployment, monitoring, security controls
• Score readout: skill 75, mission 70, salary 0, remote 100, novelty 35, risk 20

Why it matches

• Job involves CI/CD, infrastructure-as-code, and containerization tools (GitHub Actions, Terraform, Docker, Kubernetes) which align with Filippo's background in molecular tech and lab automation.
• Bioinformatics scientists and software teams are involved, suggesting overlap with clinical informatics and bioinformatics engineering.
• Regulatory compliance and auditability are emphasized, which connects to clinical diagnostics and scientific software engineering.

Posting evidence

• Our bioinformatics pipelines, software systems, and diagnostic infrastructure are growing in complexity and scale.
• Development teams need fast, reliable, secure delivery workflows.
• Bioinformatics scientists need reproducible, well-governed compute environments.

Resume angle: Position Filippo as a bridge between clinical lab operations and software automation, emphasizing his experience in molecular technology and lab workflows translating to infrastructure automation for bioinformatics pipelines.

Outreach angle: Frame the role as a greenfield opportunity to build software delivery systems for regulated bioinformatics, positioning Filippo as a technical leader who can deliver reliable, auditable, and scalable infrastructure for clinical diagnostics.

Open questions

• Compensation is not explicit; verify range before investing time.

9. Business Transformation Lead

• Company: Expion Health
• Source: Remotive
• Remote/location: true / USA
• Compensation: $175k - $225k
• Fit score: 65/100
• Verdict: possible_match
• Matched signal: AI, automation, healthcare, business transformation, AI Champions, workflow, internal capability, AI transformation
• Score readout: skill 60, mission 70, salary 50, remote 100, novelty 35, risk 30

Why it matches

• The role involves embedding AI into real workflows and building internal capability, which aligns with Filippo's pivot into AI systems and clinical workflow engineering.
• Filippo has experience in molecular technology and lab automation, which may support workflow transformation in a healthcare context.
• The job emphasizes hands-on transformation with department leaders, which matches his background in clinical and lab operations.

Posting evidence

• Title : Business Transformation Lead Location : Fully Remote Reports To : President, Service & Growth Expion Health is building the future of pharmacy economics.
• As architects of prescription economics, we design how pharmacy value is created, aligning cost, clinical decisions, and performance into one accountable system that moves beyond rebates.
• The Role As our Business Transformation Lead , you'll be the architect and driver of how we embed AI into the way every team in our company works.

Resume angle: Position Filippo as a clinical workflow and AI transformation expert who can bridge technical execution with business impact, leveraging his background in lab automation and scientific software to drive real-world AI adoption in healthcare operations.

Outreach angle: Frame the role as a unique opportunity to apply his expertise in clinical and lab workflow engineering to a startup focused on pharmacy economics, emphasizing his ability to translate AI concepts into practical, real-world solutions within healthcare operations.

Open questions

• Skill match is partial; identify the smallest portfolio proof needed before outreach.

10. Senior Engineer, Agentic RPA Automation

• Company: Natera
• Source: Greenhouse
• Remote/location: true / US Remote
• Compensation: unknown
• Fit score: 65/100
• Verdict: possible_match
• Matched signal: RPA, AI Engineering, Automation, API Engineering, Enterprise Integration, Software Engineer
• Score readout: skill 70, mission 55, salary 0, remote 100, novelty 90, risk 30

Why it matches

• Filippo has experience in molecular technology, lab automation, and clinical workflow engineering, which aligns with RPA and automation in lab environments.
• The role requires RPA and AI agent engineering, which overlaps with Filippo's pivot into AI systems and ML, though not explicitly in bioinformatics or genomics data science.
• The job emphasizes API engineering and enterprise integration, which is adjacent to scientific software and lab automation engineering.

Posting evidence

• Role Overview The Senior Software Engineer, Agentic RPA Automation is responsible for designing, building, and managing enterprise automation solutions through a combination of RPA, AI Agents, API engineering, and enterprise integration platforms.
• This role is for a senior hands-on software engineer who can take business needs and turn them into production-grade automation solutions that are reliable, maintainable, and secure.
• This role requires experience in both RPA and AI engineering to be successful.

Resume angle: Position Filippo as a senior software engineer with a background in lab automation and clinical workflows, emphasizing his experience in building reliable, maintainable systems that can be adapted to RPA and AI-driven automation in healthcare environments.

Outreach angle: Highlight his transition into AI systems and scientific software, and position the role as a natural extension of his experience in lab automation and clinical workflow engineering, with a focus on agentic automation and enterprise integration.

Open questions

• Compensation is not explicit; verify range before investing time.

Manual Review Queue

No useful near-misses today. If this stays empty, add more company-specific Greenhouse/Lever boards before drawing conclusions.

Screened Rejects

• 1. Senior Research Associate — Natera (65/100): Filippo has experience in molecular technology and assay development, which aligns with Natera's oncology assay development focus. Signals: oncology assay development, next-generation sequencing, cell-free DNA, experimental workflows, library preparation.
• 2. Medical Science Liaison — Natera (58/100): Matched clinical, healthcare signal. Signals: clinical, healthcare.

Watchlist Themes

• AI orchestration
• Agentic systems
• LLM
• Molecular Therapeutics
• Python
• AI agent orchestration
• Model Context Protocol (MCP)
• containerized services
• AWS
• Terraform

Skipped Noise

• 181 rejected: Cut before scoring.
• 74 rejected: Older than 30 days.
• 49 rejected: No AI/bioinformatics/automation signal.
• 21 rejected: Explicitly not remote.
• 14 rejected: Rejected by noise keyword.
• 12 rejected: Explicit salary ceiling below target.

Source Attribution

• Remotive public remote jobs API
• Greenhouse public board: Arc Institute (arcinstitute)
• Greenhouse public board: Natera (natera)
• Greenhouse public board: Ginkgo Bioworks (ginkgobioworks)
• Greenhouse public board: 10x Genomics (10xgenomics)
• Greenhouse public board: PathAI (pathai)
• Greenhouse public board: Flatiron Health (flatironhealth)
• Greenhouse public board: Komodo Health (komodohealth)
• Greenhouse public board: Generate:Biomedicines (generatebiomedicines)

Original job links are preserved above. Exocortex summarizes only; full descriptions remain with the source.