Direct the Product Engineering team's development of researcher-facing applications and tools, such as protein design interfaces and predictive modeling platforms. Team Management and Development
Direct the Product Engineering team's development of researcher-facing applications and tools, such as protein design interfaces and predictive modeling platforms. Team Management and Development
Direct the Product Engineering team's development of researcher-facing applications and tools, such as protein design interfaces and predictive modeling platforms. Team Management and Development
Direct the Product Engineering team's development of researcher-facing applications and tools, such as protein design interfaces and predictive modeling platforms. Team Management and Development
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Programming Director information
See Commack, NY salary details
$37.4K is the 25th percentile. Wages below this are outliers.
$30K - $43.8K
46% of jobs
The median wage is $50.6K / yr.
$43.8K - $57.5K
7% of jobs
$57.5K - $71.3K
4% of jobs
$71.3K - $85K
9% of jobs
$90.1K is the 75th percentile. Wages above this are outliers.
$85K - $98.8K
22% of jobs
$98.8K - $112.5K
7% of jobs
$112.5K - $126.2K
0% of jobs
$126.2K - $140K
0% of jobs
$140K - $153.7K
0% of jobs
$153.7K - $167.5K
0% of jobs
$167.5K - $181.2K
4% of jobs
$30K
$71.8K
$181.2K
How much do programming director jobs pay per year?
How does a Programming Director typically collaborate with other departments to ensure successful project execution?
What does a programming director do?
What jobs in the US pay 300,000 a year?
What jobs pay 500,000 a year in the US?
What jobs pay 10,000 a month without a degree?
What are the key skills and qualifications needed to thrive as a Programming Director, and why are they important?
What is the difference between Programming Director vs Software Developer?
| Aspect | Programming Director | Software Developer |
|---|---|---|
| Credentials | Bachelor's or higher in Computer Science, Management experience | Bachelor's in Computer Science or related field |
| Work Environment | Leads teams, manages projects, strategic planning | Writes code, develops software, tests applications |
| Industry Usage | Used in media, entertainment, tech companies for overseeing programming | Common across tech, startups, software firms |
| Search Intent | Roles involving leadership and project oversight | Roles focused on coding and software creation |
The Programming Director typically oversees programming teams and manages project strategies, requiring leadership skills and industry experience. In contrast, a Software Developer focuses on coding and developing software applications. While both roles require technical knowledge, the Programming Director's role is more managerial, whereas the Software Developer's role is more technical and hands-on.
Full-time
Posted 24 days ago
Genentech rating
9.0
Based on 21 frontline employees who took The Breakroom Quiz
7th of 71 rated pharmaceutical
Job description
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Data sharing and access to models across our large R&D system are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
The Opportunity:
We are seeking an experienced Head of Engineering, reporting to the VP of Artificial Intelligence for Drug Discovery (AI4DD), to lead the technical development, product engineering and infrastructure for our AI for Drug Discovery (AI4DD) group. This role is central to accelerating our mission of leveraging cutting-edge machine learning and AI to transform pharmaceutical research and development. The Head of Engineering oversees all facets of AI4DD engineering including deploying high impact production applications, data engineering pipelines, and machine learning infrastructure. This is a leadership position requiring deep technical expertise in AI/ML engineering, large-scale data systems, and a passion for applying technology to complex R&D challenges.
In this role, you will:
Technical Leadership and Strategy
- Own technical strategy and roadmap for the AI4DD engineering function, ensuring alignment with the overall research goals and pharmaceutical portfolio needs.
- Lead the ML Engineering and Infrastructure team designing, and maintaining a robust, scalable, and secure ML platforms to support machine learning model training, experimentation, deployment, and inference for frontier research. Align closely with other related CSCoE departments across the whole system and data value chain.
- Partner closely with our LLM and Agent research teams to optimize infrastructure for foundation model training and the orchestration of autonomous agentic workflows.
- Partner closely with our Large and Small Molecule Portfolio teams to ensure data infrastructure, resource, and product alignment for maximum acceleration of the drug discovery pipeline
- Oversee the Data Engineering team's efforts in the architecture and development of data pipelines and data products, ensuring high-quality, traceable, and accessible data for advanced early phase R&D activities.
- Direct the Product Engineering team's development of researcher-facing applications and tools, such as protein design interfaces and predictive modeling platforms.
Team Management and Development
- Lead, mentor, and grow a diverse team of machine learning, software, and data engineers as well as developers.
- Foster a culture of technical excellence, continuous integration, robust testing, and collaborative problem-solving.
- Manage project execution, resource allocation, and budget planning for all engineering initiatives.
Cross-Functional Collaboration
- Work closely with AI/ML Research Scientists, Computational Biologists, and therapeutic areas leads to translate research prototypes into production-ready systems and tools.
- Collaborate with IT and security teams to ensure engineering practices adhere to all necessary enterprise standards.
Who you are:
- At least 5 years of experience in software, data or ML engineering, with at least 5 years in a people leadership role managing multi-disciplinary engineering teams.
- Experience in designing scalable, reliable, and cost-effective data products and computational systems and extensive hands-on experience building, scaling, and maintaining infrastructure specifically for machine learning/AI workflows (MLOps, distributed training, inference services, batch compute, containerization, infrastructure-as-code).
- Deep expertise in cloud computing environments (e.g., AWS, GCP, Azure), modern data stack technologies, and languages and frameworks commonly used in ML (e.g., Python, PyTorch).
- Deep understanding of machine learning algorithms, model evaluation techniques, and the infrastructure and lifecycle of developing AI models for complex, predictive domains including LLMs (distributed fine-tuning, and high-performance inference.)
Preferred
- Experience in the biotech or pharmaceutical industry, ideally with exposure to drug discovery, preclinical development, or clinical trial data.
- A strong understanding of computational biology, cheminformatics, or molecular simulation is highly desirable.
- Master's degree in Computer Science, Engineering or a related quantitative field.
- Experience managing multi-site teams.
Relocation benefits are available for this opportunity
The expected salary range for this position, based on the primary location of New York, is $192,400 - $357,400 of hiring range. For the primary of location of California, $201,200 - $373,600 of hiring range. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#ComputationCoE
#tech4lifeComputationalScience
#tech4lifeAI
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
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About Genentech
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A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.
Industry
Scientific research and development services
Company size
10,000+ Employees
Headquarters location
South San Francisco, CA, US
Year founded
1976