Company Name: Bioscope

Job Details: Job detailsHere’s how the job details align with your profile.Paymatching preference$125,500 - $250,000 a yearJob typeFull-timeShift and scheduleChoose your own hours 

Job Url: https://www.indeed.com/jobs?q=React&l=Remote&sc=0kf%3Aattr%28DSQF7%29%3B&radius=50&sort=date&fromage=3&start=20&vjk=27ee88a6effc2d19

Job Description: Role Overview
We are building an AI-driven clinical decision-support platform that fuses whole-genome sequencing, molecular diagnostics, microbiome analytics, and real-time EHR data to deliver mechanism-based, patient-specific insights at the point of care. As our first Technical Lead you will both architect and code the core platform and recruit, mentor, and manage a lean, high-impact engineering pod (3-5 developers). You’ll collaborate daily with clinical informatics, data science, and regulatory teams to bring HIPAA-compliant, FDA-aligned software from zero to production in fast cycles.
Key Responsibilities
 System Architecture & Hands-On Development
 Design and implement a cloud-native poly-omics data platform (ingestion → harmonization → analytics → API/UI delivery) using a modern micro-services approach.
 Build FHIR-native integrations with major EHRs (Epic, Cerner, Athena) and lab partners.
 Lead development of AI pipelines that combine LLMs, graph analytics, and ML models for genomic + microbiome interpretation.
 Team Leadership & Process
 Hire, onboard, and coach backend, frontend, and DevOps engineers; establish lightweight agile rituals and coding standards.
 Guide the team in balancing tech debt vs. feature velocity; champion test automation, CI/CD, observability, and security best practices.
 Coordinate cross-functionally with product, clinical, and regulatory to translate clinical workflows into shippable software.
 Compliance & Quality
 Implement and document HIPAA, SOC 2, and (future) FDA CDS/LDT requirements within the SDLC.
 Own technical risk mitigations around PHI, genomic data privacy, and AI explainability.
 Strategic Influence
 Evaluate build-vs-buy decisions (e.g., variant-calling pipelines, LIMS, LLM vendors).
 Contribute to product roadmap, partner due-diligence, and fundraising/enterprise sales technical diligence.

Minimum Qualifications

 7+ years total engineering experience, including 2+ years leading small, high-performance teams.
 Deep proficiency in Python / TypeScript and one JVM/Scala or Go language; comfortable moving across the stack.
 Proven track record architecting cloud systems on AWS (preferred), GCP, or Azure, employing Kubernetes, serverless, or containerized micro-services.
 Hands-on experience with bioinformatics or clinical data (VCF/BAM/FASTQ, FHIR/HL7, or lab LIMS).
 Working knowledge of modern ML/AI workflows (TensorFlow/PyTorch, Transformers, or graph ML).
 Strong grasp of data security, encryption, IAM, and HIPAA/SOC 2 controls.
 Excellent written and verbal communication; able to translate complex technical decisions to clinical and business stakeholders.

Preferred Qualifications

 Prior build-out of a regulated healthcare, digital therapeutics, or diagnostics platform (FDA 21 CFR Part 11, SaMD, LDT pipelines).
 Familiarity with genomics pipelines (GATK, Nextflow, WDL), microbiome taxonomic profiling, and pharmacogenomics knowledgebases (PharmGKB, ClinVar).
 Experience integrating commercial LLM APIs or fine-tuning domain-specific language models.
 Exposure to real-time streaming (Kafka, Kinesis), graph databases (Neo4j), and SQL/NoSQL hybrid architectures.

Tech Stack & Tools (Indicative)
Python · FastAPI · TypeScript/React + Next.js · PostgreSQL + TimescaleDB · Neo4j · AWS (EKS, Lambda, S3, Aurora, SageMaker) · Terraform · GitHub Actions · Datadog · FHIR R4 · OpenAI / Hugging Face · Nextflow/GATK
Success Metrics (First 12 Months)

 MVP Launch: Secure ingestion of WGS + lab data, AI-curated report generation, and Epic App Orchard demo within 6 months.
 Quality & Compliance: SOC 2 Type I and HIPAA audit readiness; ≥95 % automated test coverage on core services.
 Team Growth: Hire and retain a founding engineering pod with eNPS ≥ 50 and sprint velocity improvements ≥15 % quarter-over-quarter.

Compensation & Benefits
Competitive salary + early-stage equity · 100 % remote flexibility · Comprehensive health/dental/vision · Annual professional development budget · Option to attend leading genomics/AI conferences.
Job Type: Full-time
Pay: $125,500.00 - $250,000.00 per year
Benefits:

 Health insurance

Compensation Package:

 Bonus opportunities
 Stock options

Schedule:

 Choose your own hours

Work Location: Remote