Search for Director of Data Sciences roles in Los Angeles, CA, with a focus on biotech industry, 10+ years of experience, and a salary expectation of $150,000 or more. I also need flexible work models and a strong employee benefits package.

Okay, I've searched for Director of Data Sciences roles in Los Angeles, CA within the biotech industry, requiring 10+ years of experience, with a salary expectation of at least $150,000, and roles that offer flexible work models along with strong employee benefits. I found 27 positions for you.

Director of Data Sciences

Los Angeles, CA

Biotech

10 years + Experience

$150000+

Flexible

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Director of Data Sciences at Amgen is primarily responsible for architecting and executing the enterprise AI-enabled forecasting vision that spans critical functional areas such as operations, finance, supply-chain, and commercial planning. This role demands a sophisticated understanding of both advanced data science techniques and the unique regulatory environment of the biotech industry. The successful candidate will likely encounter challenges such as balancing rigorous technical demands with the necessity for compliance and ethical considerations in AI, all while driving cross-team collaboration. A successful Director will not only be a technical leader but also a storyteller, translating complex data insights into actionable strategies that resonate with executive leadership and improve patient outcomes. Performance expectations will focus on forecast accuracy, stakeholder satisfaction, and the continuous development of a high-caliber team, establishing a positive feedback loop for organizational growth and innovation.

Company Analysis:

Amgen is a prominent player in the biotech industry, known for its mission-driven focus on serving patients with serious illnesses. This commitment to innovation and patient care creates an organizational culture that is collaborative, science-based, and heavily reliant on advanced analytics and data-driven decision-making. With the role of Director of Data Sciences directly aligned with Amgen's overarching goals of improving patient outcomes, it suggests that this position will hold significant strategic importance and visibility within the company. The culture emphasizes ethical practices and innovative thinking, which will be crucial for someone in this role, especially as they lead the integration of AI into the decision-making process. Given Amgen's growth trajectory and commitment to maintaining its market position, this hire likely represents a strategic move to leverage data science in enhancing operational efficiencies and patient impact, making it crucial for the new hire to align their leadership style with Amgen's values of collaboration and integrity.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Describe a time when you had to lead a data science project that required collaboration across multiple teams. How did you manage the different priorities and concerns?
Can you provide an example of how you've successfully scaled a data science team? What specific strategies did you implement to ensure retention and talent development?
Talk about a challenge you faced when implementing a complex AI model. How did you approach problem-solving in that situation?
What methods do you typically use to translate complex data findings into actionable strategies for executive leadership?
How would you prioritize the development and implementation of machine learning models across diverse business units within Amgen?
Describe your experience with compliance and regulatory standards in a data-driven environment. How do you ensure your models align with these requirements?
Imagine you’ve designed a new forecasting model, but initial results show inaccuracies. What steps would you take to diagnose and rectify the issue?
If tasked with driving the adoption of new AI techniques in a conservative environment, how would you approach gaining buy-in from stakeholders?
What attracts you to Amgen's mission, and how do you see your background fitting into our goals?
How do you stay abreast of the latest AI/ML trends, and how would that knowledge benefit your work at Amgen?
What are your thoughts on the ethical implications of AI in healthcare, and how do you integrate responsible AI practices into your work?
What question do you have about our team culture or how success is measured for this role at Amgen?
Can you share an example of a situation where you needed to pivot quickly due to unforeseen circumstances in a project?

Job Details

Overview Company

Director of Data Sciences

Lensa

16 days ago

Highlight

OnsiteFull-time5+ yearsDirector

Summary

Amgen is seeking a Director of Data Sciences to join their team in Los Angeles, CA. The role involves architecting AI-enabled forecasting, leading a data-science team, and implementing ML Ops on modern cloud platforms.

About the Role

As a Director of Data Sciences, you will be responsible for designing and refining an AI-enabled forecasting vision across various business functions. You will prototype and productionize advanced models, lead and scale a data-science team, and implement robust ML Ops and data pipelines. You will also partner cross-functionally to embed governance and privacy into models, translate insights into action, and stay at the cutting edge of AI/ML research.

About You

Required:

Doctorate degree (PhD, PharmD, or MD) and 5 years of relevant experience OR Master's degree and 8 years of relevant experience OR Bachelor's degree and 10 years of relevant experience.
Strategic systems thinking and technical curiosity.
Inclusive and empowering leadership skills.
Ability to influence and tell compelling stories with data.
Change agility and integrity in AI development.

Benefits

Comprehensive employee benefits package including retirement and savings plan with company contributions.
Group medical, dental, and vision coverage.
Life and disability insurance.
Flexible spending accounts.
Discretionary annual bonus program.
Stock-based long-term incentives.
Award-winning time-off plans.
Flexible work models, including remote and hybrid work arrangements.

Lensa

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Los Angeles, CA