Embrace Discovery Jobs in San Francisco, CA

106,528 open positions · Updated daily

Looking for Embrace Discovery jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Embrace Discovery position in the San Francisco, CA area.

Director, Project Management

Company: Impact Theory

Location: Los Angeles, CA

Posted Apr 29, 2023

None Found

IT Auditor

Company: PlayStation

Location: San Diego, CA

Posted Apr 30, 2023

None Found

Director of Social Media

Company: Impact Theory

Location: Los Angeles, CA

Posted Apr 29, 2023

None Found

Senior Principal Scientist/Associate Director, Bioinformatics

Company: Boundless Bio

Location: San Diego, CA

Posted Apr 28, 2023

Boundless Bio is a San Diego-based precision oncology company employing an exciting new area of cancer biology, extrachromosomal DNA (ecDNA), to revolutionize cancer treatment. The role of a Principal Scientist, Bioinformatics, offers the opportunity to impact the discovery and development of transformational therapies in ecDNA-driven cancers with high unmet medical need. The successful candidate will be responsible for supporting early target validation and translational biology groups by providing computational analysis and insights from experimental data.

Marketing Operations Coordinator

Company: Impact Theory

Location: Los Angeles, CA

Posted Apr 29, 2023

None Found

Lead Data Analyst

Company: SmithRx

Location: San Francisco, CA

Posted Apr 29, 2023

None Found

Executive Assistant To CEO

Company: Impact Theory

Location: Los Angeles, CA

Posted Apr 29, 2023

None Found

Staff User Experience Developer (Remote - US)

Company: Illumina

Location: San Diego, CA

Posted Apr 28, 2023

None Found

Mobile Engineer, Android

Company: Airtable

Location: San Francisco, CA

Posted Apr 28, 2023

None Found

Senior Account Executive

Company: VideoAmp

Location: Los Angeles, CA

Posted Apr 28, 2023

None Found

Sr. Manager, CRM and Lifecycle Marketing

Company: Impact Theory

Location: Los Angeles, CA

Posted Apr 29, 2023

None Found

Frequently Asked Questions

What are typical salary ranges by seniority in Embrace Discovery?
In the United States, a Junior Discovery Engineer can expect $70,000–$90,000 annually. Mid‑level roles such as Discovery Data Scientist or Platform Architect range from $110,000 to $150,000. Senior positions—Lead Discovery Architect or Director of Discovery—typically command $170,000 to $220,000, and compensation can increase with equity or performance bonuses in larger firms.
What skills and certifications are required?
Key technical skills include Python, SQL, and Spark for data pipelines; TensorFlow or PyTorch for model development; Kubernetes and Docker for container orchestration; and cloud platforms like AWS (Certified Data Analytics Specialty), Azure Data Engineer, or GCP BigQuery. Domain knowledge in healthcare regulations (HIPAA), energy standards (ISO 50001), or market‑research methodologies is essential. Certifications such as Certified Analytics Professional (CAP), AWS Certified Data Analytics, or Google Cloud Professional Data Engineer enhance credibility.
Is remote work available for Embrace Discovery roles?
Most Embrace Discovery roles are remote‑friendly or hybrid, especially in companies that rely on cloud‑native discovery platforms. Tech giants, biotech startups, and consulting firms routinely offer fully remote positions with robust collaboration tools, while on‑site roles are usually limited to regional data centers or product labs.
What career progression paths exist?
A typical career ladder starts with Discovery Analyst or Junior Engineer, moves to Senior Engineer or Lead Data Scientist, then to Discovery Architect or Product Lead, and finally to Director of Discovery or Chief Data Officer. Progression often requires demonstrated expertise in building production‑grade discovery pipelines, cross‑functional leadership, and publishing findings in industry conferences.
What are the current industry trends for Embrace Discovery?
Current trends include AI‑driven hypothesis generation, edge computing for real‑time IoT analytics, and privacy‑preserving techniques like federated learning. Companies are investing in low‑latency streaming services and integrating genomic or sensor data into unified discovery platforms, which raises demand for engineers skilled in distributed systems and data governance.

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