Gilead Sciences Inc.
Foster City, California
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Clinical Data Science (CDS) is a business unit within Development whose mission is to achieve regulatory approval and successful marketing of new therapies through a reproducible, transparent, efficient, and validated approach to study design, data acquisition, analysis, and interpretation. Our pursuit is to deliver on unmet medical needs by introducing therapies for life-threatening diseases. Within CDS, we strive to reach this goal through excellence in data management, analytical methods, and advanced programmatic approaches to gain insights from a wide range of data assets. To achieve the commitments of our clinical portfolio, CDS has been developing an agile and sustainable resource model that leverages external partnerships to form a strong alliance with internal Gilead roles. Together, these teams will deliver statistical programming outputs that meet study analysis needs and requirements. The Analysis Oversight Statistical Programming (AOSP) Lead is essential to these partnerships. As a member of the Study Management Team (SMT), the AOSP Lead works closely with the study team to determine the statistical programming requirements, understand study milestones and programming dependencies, and leads the development of the programming outputs. The Analysis Oversight Statistical Programming Lead is accountable for the development of Analysis Data Model (ADaM) and Table, Figure, and Listing (TFL) deliverables, ensuring completeness, accuracy, and compliance with regulatory and quality standards. This role will progressively review vendor performance metrics in governance meetings to monitor trends and address any challenges, risks, and/or bottlenecks encountered by the study programming team. The position requires a strong acumen in statistical analysis, focused on achieving high-quality outputs that support clinical results. In addition, the candidate will need to perform quality management, coach and mentor programming colleagues, and provide statistical guidance as it relates to specifics of the study and general processes and statistical program education. The candidate will need to closely monitor the quality and timeliness of clinical trial programming deliverables, provide process guidance, support creation and maintenance of onboarding materials, and direct prioritization and coordination of study related deliverables. Key Responsibilities will include, but are not limited to the following: Exhibits strong statistical & programming knowledge & expertise to influence key decisions on statistical programming outputs and provide guidance to statistical programmers. Attends SMT Meetings, providing functional input on programming related activities and potential risks. Reviews and approves statistical programming requirements (e.g. ADaM Mapping Specifications). Communicates SMT decisions, discussions, and action items to statistical programmers. Reviews and approves key study documents. Helps statistical programmers understand critical study documents. Reviews statistical programming timelines and negotiates with study team if needed. Participates in internal and external audits and identifies areas of opportunity to refine and simplify procedural steps. Analyse vendor performance through assessment of Key Performance and Quality Indicators (e.g. KPI, KQI), metrics, and results. Participates as needed in vendor governance discussions to address any performance related risks and/or concerns. Ensures adequate statistical programming resourcing for study milestones. Assigns tasks to statistical programmers based on experience and ability. Closely monitors and tracks study statistical programming activities within task management system. Maintains regular communications on study statistical programming milestone activities with appropriate study team members and stakeholders. Influences and supports data and submission standards, templates, etc. Performs quality checks to ensure deliverables are complete, accurate, and comply with Gilead and CDISC standards. Ensures programming activities are executed in correct order. Ensures validation documentation, folder locking, and TMF requirements are observed. Surfaces the need for new or updated standards to improve efficiency and uniformity across TA or Indication level objects. Provides prioritization decisions and coaching to fellow onboarding staff as needed to advance their knowledge on Gilead processes and statistical programs & methods. Ensures the programming team identifies data issues and enters accordingly into the Data Issue Log. In addition, ensures all issues and observations noted on the issue log have been resolved prior to final production release. Holds analysis team meetings with Biostatisticians. Serves as the point-of-contact with vendors, and liaisons with other functions. Requests the locking and archiving of study folders. Minimum Required Education and Years of Experience Bachelor's Degree and Seven Years' Experience OR Masters' Degree and Five Years' Experience Minimum 2 years leading studies in Virology, Oncology, or Inflammation Therapeutic Area Preferred Qualifications: Mature statistical knowledge and expertise in the development of ADaM and TFLs and dependent tasks/activities. Proven track record in delivering high quality statistical programming datasets and outputs. Ability to collaborate and work effectively with global team members and build strong relationships. Expertise working in global teams, across various time-zones to achieve clinical trial milestones. Remains current and has deep knowledge of GCP, ICH guidelines, and regulatory requirements, specifically as it relates to quality oversight, quality assurance, and risk management. Ability to problem-solve using data-driven approaches to help determine the best path forward. Excellent customer-focus with proven track-record in building relationships through superlative communication and writing skills. Superior skills in coaching and mentoring staff of varying skillsets and respectful of cultural differences especially communication styles. Results-oriented and able to work closely with others through great collaboration to resolve challenges, bottlenecks, or risks. Ability to motivate large diverse teams to achieve a common set of goals. Strong experience in data analysis and demonstrated critical thinking skills. Strong programming experience in non-compartmental Pharmacokinetics (PK) analysis for various study designs. Oversee and guide the development of statistical programs for TQT, cQT, pharmacokinetics (PK), and pharmacodynamics (PD) analysis, ensuring adherence to study protocols and regulatory submissions. Able to lead and mentor effective cross functional teams and keep programming team promptly informed of all study activities. The salary range for this position is: $146,540.00 - $189,640.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability . click apply for full job details
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description Clinical Data Science (CDS) is a business unit within Development whose mission is to achieve regulatory approval and successful marketing of new therapies through a reproducible, transparent, efficient, and validated approach to study design, data acquisition, analysis, and interpretation. Our pursuit is to deliver on unmet medical needs by introducing therapies for life-threatening diseases. Within CDS, we strive to reach this goal through excellence in data management, analytical methods, and advanced programmatic approaches to gain insights from a wide range of data assets. To achieve the commitments of our clinical portfolio, CDS has been developing an agile and sustainable resource model that leverages external partnerships to form a strong alliance with internal Gilead roles. Together, these teams will deliver statistical programming outputs that meet study analysis needs and requirements. The Analysis Oversight Statistical Programming (AOSP) Lead is essential to these partnerships. As a member of the Study Management Team (SMT), the AOSP Lead works closely with the study team to determine the statistical programming requirements, understand study milestones and programming dependencies, and leads the development of the programming outputs. The Analysis Oversight Statistical Programming Lead is accountable for the development of Analysis Data Model (ADaM) and Table, Figure, and Listing (TFL) deliverables, ensuring completeness, accuracy, and compliance with regulatory and quality standards. This role will progressively review vendor performance metrics in governance meetings to monitor trends and address any challenges, risks, and/or bottlenecks encountered by the study programming team. The position requires a strong acumen in statistical analysis, focused on achieving high-quality outputs that support clinical results. In addition, the candidate will need to perform quality management, coach and mentor programming colleagues, and provide statistical guidance as it relates to specifics of the study and general processes and statistical program education. The candidate will need to closely monitor the quality and timeliness of clinical trial programming deliverables, provide process guidance, support creation and maintenance of onboarding materials, and direct prioritization and coordination of study related deliverables. Key Responsibilities will include, but are not limited to the following: Exhibits strong statistical & programming knowledge & expertise to influence key decisions on statistical programming outputs and provide guidance to statistical programmers. Attends SMT Meetings, providing functional input on programming related activities and potential risks. Reviews and approves statistical programming requirements (e.g. ADaM Mapping Specifications). Communicates SMT decisions, discussions, and action items to statistical programmers. Reviews and approves key study documents. Helps statistical programmers understand critical study documents. Reviews statistical programming timelines and negotiates with study team if needed. Participates in internal and external audits and identifies areas of opportunity to refine and simplify procedural steps. Analyse vendor performance through assessment of Key Performance and Quality Indicators (e.g. KPI, KQI), metrics, and results. Participates as needed in vendor governance discussions to address any performance related risks and/or concerns. Ensures adequate statistical programming resourcing for study milestones. Assigns tasks to statistical programmers based on experience and ability. Closely monitors and tracks study statistical programming activities within task management system. Maintains regular communications on study statistical programming milestone activities with appropriate study team members and stakeholders. Influences and supports data and submission standards, templates, etc. Performs quality checks to ensure deliverables are complete, accurate, and comply with Gilead and CDISC standards. Ensures programming activities are executed in correct order. Ensures validation documentation, folder locking, and TMF requirements are observed. Surfaces the need for new or updated standards to improve efficiency and uniformity across TA or Indication level objects. Provides prioritization decisions and coaching to fellow onboarding staff as needed to advance their knowledge on Gilead processes and statistical programs & methods. Ensures the programming team identifies data issues and enters accordingly into the Data Issue Log. In addition, ensures all issues and observations noted on the issue log have been resolved prior to final production release. Holds analysis team meetings with Biostatisticians. Serves as the point-of-contact with vendors, and liaisons with other functions. Requests the locking and archiving of study folders. Minimum Required Education and Years of Experience Bachelor's Degree and Seven Years' Experience OR Masters' Degree and Five Years' Experience Minimum 2 years leading studies in Virology, Oncology, or Inflammation Therapeutic Area Preferred Qualifications: Mature statistical knowledge and expertise in the development of ADaM and TFLs and dependent tasks/activities. Proven track record in delivering high quality statistical programming datasets and outputs. Ability to collaborate and work effectively with global team members and build strong relationships. Expertise working in global teams, across various time-zones to achieve clinical trial milestones. Remains current and has deep knowledge of GCP, ICH guidelines, and regulatory requirements, specifically as it relates to quality oversight, quality assurance, and risk management. Ability to problem-solve using data-driven approaches to help determine the best path forward. Excellent customer-focus with proven track-record in building relationships through superlative communication and writing skills. Superior skills in coaching and mentoring staff of varying skillsets and respectful of cultural differences especially communication styles. Results-oriented and able to work closely with others through great collaboration to resolve challenges, bottlenecks, or risks. Ability to motivate large diverse teams to achieve a common set of goals. Strong experience in data analysis and demonstrated critical thinking skills. Strong programming experience in non-compartmental Pharmacokinetics (PK) analysis for various study designs. Oversee and guide the development of statistical programs for TQT, cQT, pharmacokinetics (PK), and pharmacodynamics (PD) analysis, ensuring adherence to study protocols and regulatory submissions. Able to lead and mentor effective cross functional teams and keep programming team promptly informed of all study activities. The salary range for this position is: $146,540.00 - $189,640.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability . click apply for full job details
Gilead Sciences Inc.
Foster City, California
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description As Associate Director, Data Science, you will proactively bring innovative data science techniques and insights to business to drive/support strategic business decisions. You would be responsible for standing up the capability of integrated HCP, patient journey and predictive sciences at scale for commercial market. The person will work closely with integrated insights, commercial ops, patient engagement and omni channel analytics leads. Hands on functional expertise, highly collaborative mindset and leadership skillsets required. This role will report to Sr. Director, Marketing Sciences and based in either Foster City, CA or Parsippany, NJ. Responsibilities: Be a partner in driving the industrialization of predictive sciences to help understand the patient journey and triggers robustly for markets. Understand Gilead's commercial business objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical and etc. Lead Data science projects end to end include convert unconstructured business questions into data science solutions, give guidance to offshore, be a hands-on leader who knows how to code and debug, communicate with stakeholders and etc. Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models Bring thought leadership and thorough understanding of statistics, primarily predictive algorithms & methodologies, to construct robust propensity models for impactful commercial use Create data science products that can be refreshed, reproduced and replicated Work with other Data Scientists and Analysts to define retraining schedule and measure propensity models for impact Partner with global teams to cross-pollinate ideas and replicate successful models from other countries and vice versa Excellent communication and ability to abstract backend complexity where it is not needed Manage DS initiatives and deliveries for a priority TA Competencies: Results orientation. The ideal candidate will thrive in a fast-paced, high-growth environment. He/She/They will have a strong drive to meet and exceed goals, even under adverse circumstances, and is willing to take ownership of problems and make decisions in order to move forward. The candidate will be adept at clearly defining objectives and priorities and establishing appropriate milestones through a strong understanding of the market and innovative approaches. He/She/They will assign accountability and incorporate disciplined processes to ensure success and nimbly handle 'derailments' with contingency plans and coordination. Team leadership. The successful candidate will have demonstrated the ability to build, develop, and motivate a team as evidenced by effective hiring, coaching, and mentoring of direct reports. Additionally, this individual will have a track record of successfully leveraging diversity of thought to achieve the highest level of results. The ideal candidate will develop an inclusive culture comfortable with challenging current market paradigms to achieve and exceed goals. He/She/They will also have constructed an appropriate succession plan and process. Strategic Orientation. The successful candidate will be able to articulate evolving priorities for the business, identify market opportunities and adapt short-term plans. This includes the ability to strategically assess customer needs and build/execute specific, segmented strategies to win business across a diverse set of customers. The successful candidate will have passion for, and success in, developing commercial strategies that have measurable business impact. Collaboration and Influence. The qualified candidate must be able to influence without ownership, which they will do by demonstrating competence and confidence, being personally accessible and likable, being a good listener, use fact-based persuasion, passion, and persistence as appropriate to the audience and issue at stake. Gaining the support and involvement of key internal constituencies will be critical to success, as will influencing those important constituencies external to the company. The successful candidate must therefore have excellent skills at influencing outcomes and shaping and catalyzing dialogue across and outside the organization. Credibility and integrity are critical attributes to effectively command the respect and trust of key individuals Basic Qualifications: Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD and Two Years' Experience Preferred Qualifications: Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE and etc. Experience in building, implementing and using AI-based solutions with proven business impact Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity. Strong leadership that be able to manage initiatives from beginning to end himself/herself Effective written and verbal communication skills Experience in implementing, optimizing and using AI-based solutions to establish proven business impact Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive health, Health Verity, EMR/HER Expertise in Python including commonly used data science libraries such as numpy, pandas, scikit-learn, seaborn, networkx, etc. Expertise in data science techniques such ANCOVA, Bayesian Statistics, Econometric modeling, Neural Networks/Logistic, etc. Understanding of cloud-based technologies and tools such as Databricks, S3, etc. Demonstrated product mindset Familiarity with product management principles Effective written and verbal communication skills Strong team player. Inclusive, objective, cross-functional, team member with a positive and solution-oriented mindset Understanding of emerging data science capabilities (fields, methodologies, algorithms, etc.) and potential application in pharma/health care Thorough understanding of datasets including their strengths and limitations such as capture rate, projections and acceptable error ranges for different therapeutic spaces Masters degree in a quantitative field with at least 8 years of relevant data science/analytics experience OR Undergraduate degree in a quantitative field with at least 10 years of relevant data science/analytics experience People Leader Accountabilities: Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams. Develop Talent - understand the skills, experience, aspirations, and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop, and realize their purpose. Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem. The salary range for this position is: Bay Area: $195,670.00 - $253,220.00. Other US Locations: $177,905.00 - $230,230.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans click apply for full job details
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description As Associate Director, Data Science, you will proactively bring innovative data science techniques and insights to business to drive/support strategic business decisions. You would be responsible for standing up the capability of integrated HCP, patient journey and predictive sciences at scale for commercial market. The person will work closely with integrated insights, commercial ops, patient engagement and omni channel analytics leads. Hands on functional expertise, highly collaborative mindset and leadership skillsets required. This role will report to Sr. Director, Marketing Sciences and based in either Foster City, CA or Parsippany, NJ. Responsibilities: Be a partner in driving the industrialization of predictive sciences to help understand the patient journey and triggers robustly for markets. Understand Gilead's commercial business objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical and etc. Lead Data science projects end to end include convert unconstructured business questions into data science solutions, give guidance to offshore, be a hands-on leader who knows how to code and debug, communicate with stakeholders and etc. Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models Bring thought leadership and thorough understanding of statistics, primarily predictive algorithms & methodologies, to construct robust propensity models for impactful commercial use Create data science products that can be refreshed, reproduced and replicated Work with other Data Scientists and Analysts to define retraining schedule and measure propensity models for impact Partner with global teams to cross-pollinate ideas and replicate successful models from other countries and vice versa Excellent communication and ability to abstract backend complexity where it is not needed Manage DS initiatives and deliveries for a priority TA Competencies: Results orientation. The ideal candidate will thrive in a fast-paced, high-growth environment. He/She/They will have a strong drive to meet and exceed goals, even under adverse circumstances, and is willing to take ownership of problems and make decisions in order to move forward. The candidate will be adept at clearly defining objectives and priorities and establishing appropriate milestones through a strong understanding of the market and innovative approaches. He/She/They will assign accountability and incorporate disciplined processes to ensure success and nimbly handle 'derailments' with contingency plans and coordination. Team leadership. The successful candidate will have demonstrated the ability to build, develop, and motivate a team as evidenced by effective hiring, coaching, and mentoring of direct reports. Additionally, this individual will have a track record of successfully leveraging diversity of thought to achieve the highest level of results. The ideal candidate will develop an inclusive culture comfortable with challenging current market paradigms to achieve and exceed goals. He/She/They will also have constructed an appropriate succession plan and process. Strategic Orientation. The successful candidate will be able to articulate evolving priorities for the business, identify market opportunities and adapt short-term plans. This includes the ability to strategically assess customer needs and build/execute specific, segmented strategies to win business across a diverse set of customers. The successful candidate will have passion for, and success in, developing commercial strategies that have measurable business impact. Collaboration and Influence. The qualified candidate must be able to influence without ownership, which they will do by demonstrating competence and confidence, being personally accessible and likable, being a good listener, use fact-based persuasion, passion, and persistence as appropriate to the audience and issue at stake. Gaining the support and involvement of key internal constituencies will be critical to success, as will influencing those important constituencies external to the company. The successful candidate must therefore have excellent skills at influencing outcomes and shaping and catalyzing dialogue across and outside the organization. Credibility and integrity are critical attributes to effectively command the respect and trust of key individuals Basic Qualifications: Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD and Two Years' Experience Preferred Qualifications: Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE and etc. Experience in building, implementing and using AI-based solutions with proven business impact Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity. Strong leadership that be able to manage initiatives from beginning to end himself/herself Effective written and verbal communication skills Experience in implementing, optimizing and using AI-based solutions to establish proven business impact Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive health, Health Verity, EMR/HER Expertise in Python including commonly used data science libraries such as numpy, pandas, scikit-learn, seaborn, networkx, etc. Expertise in data science techniques such ANCOVA, Bayesian Statistics, Econometric modeling, Neural Networks/Logistic, etc. Understanding of cloud-based technologies and tools such as Databricks, S3, etc. Demonstrated product mindset Familiarity with product management principles Effective written and verbal communication skills Strong team player. Inclusive, objective, cross-functional, team member with a positive and solution-oriented mindset Understanding of emerging data science capabilities (fields, methodologies, algorithms, etc.) and potential application in pharma/health care Thorough understanding of datasets including their strengths and limitations such as capture rate, projections and acceptable error ranges for different therapeutic spaces Masters degree in a quantitative field with at least 8 years of relevant data science/analytics experience OR Undergraduate degree in a quantitative field with at least 10 years of relevant data science/analytics experience People Leader Accountabilities: Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams. Develop Talent - understand the skills, experience, aspirations, and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop, and realize their purpose. Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem. The salary range for this position is: Bay Area: $195,670.00 - $253,220.00. Other US Locations: $177,905.00 - $230,230.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans click apply for full job details
