Job Location: Mumbai
Associate Director – Advanced Analytics & Data Science (Forecasting)
Position Overview:
We are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management.
Global Commercial Assessment & Forecasting (GCAF) is a global function encompassing long-range pharmaceutical asset forecasting across the product lifecycles of all assets within Human Health (Oncology, Vaccines, Hospital Specialty / Primary care). Assets include early and late-stage molecules in clinical development, companies under considerations by business development for partnering and/ or acquisition as well as currently launched products.
Forecasting deliverables support division planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across divisions, fosters innovation and best practices, and creates solutions to bring speed, scale and ability to share to our planning processes. As we endeavor, we are seeking a dynamic talent for the role of “Associate Director – Advanced Analytics & Data Science (Forecasting)”.
The candidate with strong analytics acumen and business understanding, who will lead a team of experts to develop, implement, and maintain varying type of forecast models, business decision models and associated capabilities for different therapeutic areas. We are looking for an expert who will have ability to lead with complete end-to-end accountability for developing agreed upon analytics/machine learning (ML) frameworks within the scope outlined. Expertise in coding languages such as Python/R/Julia/VBA and advanced Excel is essential; along with excellent solutioning abilities for complicated business problems. Expertise in coding languages is essential; while exposure to simulations, process automation, reporting and dashboarding capabilities, and pharmaceutical forecasting experience will be added advantage. Other important aspects for success include:
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Familiarity with multiple therapeutic areas including Oncology
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Familiarity with various advanced modeling methods including Systems Dynamics/Agent Based Models
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Strong internal networking / collaboration skills & thought leadership
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Agile program/project management skills
Responsibilities:
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Lead development and execution of data driven analysis, machine learning/ deep learning method to augment the business decision making process and apply analytical concepts incorporating epidemiology / audit / patient/system dynamics/ agent-based model flow or other suitable flow based on the requirement from business within GCAF by collaborating and prioritizing work across teams (oncology, primary/ hospital specialty, vaccines, BD/ early pipeline groups)
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Collaborate with GCAF Advanced Analytics and Data Science, Forecasting lead in the US to drive prioritized workstreams. Work in HHIAD cross-functional environment to deliver on advanced new age technology and modelling requirements
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Work closely with business team to envision the analytics/simulation/ML/DL based methods to be aligned with the business requirements, ability for critical thinking, and having a systematic and logical approach to problem-solving
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Actively spearhead all elements of analytics method development – concept notes & analytics design, concept user testing (UAT), presentation and solution rollout while following the transformation leaders’ vision for adherence to industry benchmark MLOPs standards and technical documentation
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Continuously innovate and evolve existing offering to improve performance and quality of deliverables and scope & deploy process automations
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Ensure thought leadership as SME in seamless integration of emerging analytics methods with available data base structures and intuitive presentation/reporting capabilities
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Coach and mentor managers in the team with process excellence, agile framework, analytics, statistics, machine learning framework and help them take up complicated work streams
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Thought partner in selecting appropriate technologies and capabilities, given the business requirements. Drive solutioning and technology selection for modeling requirements in collaboration with Transformation Lead based out of US.
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Communicate effectively across stakeholders, and proactively identify and resolve conflicts and prioritize work by engaging with relevant stakeholders
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Manage delivery of forecasting capabilities, tools, and models in a timely manner with allocated resources
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Empower a growth mindset and inspire a culture of continual learning that strives for greater quality, efficiency, and innovation, ultimately improving team productivity and work product
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Expected span of control (~10-20 employees); in addition to this, participate in selection, talent development and trainings of our company employees
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Ability to drive various automation efforts to exert efficiency gains within the GCAF team
Required Experience and skills:
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Advanced degree (MS or PhD) in computer science, statistics, econometrics, analytics, or a related field or Bachelor of Technology/Pharmacy with PG in advance analytics, business analytics, data science, machine learning or advanced certifications in the related field
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12+ years’ experience working with Life Sciences companies with 8+ years in advance analytics, business analytics, marketing analytics and/or data analytics function within Commercial or Finance. Proven history (5+ years) of delivery experience in machine learning and deep learning-based projects including computer vision and NLP
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Familiarity with Oncology and other key therapeutic areas, concise understanding of patient journey framework, proficiency in pharmaceutical datasets and RWDs
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Proven delivery experience of cloud/platform-based analytics (AWS Sagemaker, Azure ML, Dataiku, Alteryx or Data robot), simulation development (AnyLogic, MatLab), multiple supervised/unsupervised machine learning projects (clustering, regression, classification, time series analysis) and end-to-end pharmaceutical forecasting/commercial analytics projects is desired
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Strong analytical acumen to structure and solution end to end project i.e., collect, measure, organize and analyze data and connect with business needs
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Hands on proficiency in statistics and statistical packages in MS Excel, SAS/Python/R/Julia /Spark/Scala to be used for end-to-end delivery and ability to apply the most accurate algorithms to datasets to find solutions
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Advanced expertise in data visualization, business intelligence frameworks and/or at least one business intelligence platform (Qliksense/Spotfire/Tableau/MS PowerBI) is must
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Proven leadership experience in delivering capabilities transformations, developing real world AI/ML solutions, robotic process automations, simulations, and analytics platforms involving end-to-end pharmaceutical forecasting is strongly recommended
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Strong communication skills and demonstrated ability to deliver working individually or in teams
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Good working knowledge of technical review and implementing industry standard best practices regarding development/maintenance of coding modules
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Strong accountability, problem solving and collaboration skills
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Proven ability to work collaboratively across large & diverse functional teams, and multiple geographies cross cultural teams for a big pharma is a strong plus
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Ability to manage ambiguous environments, and to adapt to changing needs of business
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Strong communication and project management, analytical problem-solving skills, with focus on innovation is a must
Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide
Who we are …
We are known as Merck & Co., Inc., Kenilworth, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world’s most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.
What we look for …
Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today.
We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.
Current Employees apply HERE
Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Kenilworth, NJ, USA, also known as Merck Sharp & Dohme Corp., Kenilworth, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Travel Requirements:
25%
Flexible Work Arrangements:
Shift:
Valid Driving License:
Hazardous Material(s):
Requisition ID:R173654
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