Job description

Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four disease areas: bone and mineral; intractable hematologic; hematology oncology; and rare disease. A Japan-based company, our goal is to translate science into smiles by delivering therapies where no adequate treatments currently exist, working from drug discovery to product development and commercialization. In North America, we are headquartered in Princeton, NJ, with offices in California, North Carolina, and Mississauga, Ontario. Summary of Job: The Data Scientist will be responsible for applying advanced analytics and creating data-based insights for the Oncology, Rare Disease, and CNS business franchises in Kyowa Kirin North America. This role will report to the Senior Director, Business Insights and Analytics, and will be responsible for advancing data science and advanced analytics capabilities by leveraging best practices in data science, data mining, and advanced statistical modeling to drive a culture of data-driven decision-making. This role requires a unique combination of skillsets and strong business acumen along with the technical competence to gain the trust of internal stakeholders and to develop innovative solutions that address critical business needs. Essential Functions: Play a key role in identifying opportunities for machine learning and business intelligence to solve unmet medical needs and support the analysis of data to generate market insights. Create artificial intelligence (AI)/ machine learning (ML) in fracture to support key strategic initiatives. Implement advanced analytics in support of our commercial teams, including explorative applications of machine learning, deep learning, and artificial intelligence. Influence critical strategic business decisions by enhancing intelligence systems and predictive analytical techniques to address current and future business objectives. Leverage advanced data integration and governance capabilities through cloud computing, and AI/ML. Utilize machine learning to build predictive models for application in commercial initiatives. Develop automated capabilities that enable the application of machine learning across the Company’s portfolio of medicines. Ability to build and fine-tune algorithms that scale up from small-scale proof-of-concept stage to full production systems in a timely manner. Communicate complex findings and insights to bother technical and non-technical stakeholders through data visualizations, reports, and presentations Job Requirements : Education A Bachelor’s degree in Statistics, Computer Science, Economics, applied mathematics, or a related field is required. A master’s or Ph.D. degree is preferred. Experience At least 10 years of relevant experience, including data science, advanced statistics, and business analysis. Strong understanding of healthcare data & and technology; cross-industry experience in pharmaceutical, consumer, or technology industries preferred. Strong quantitative and diverse analytical skills: exploratory data analyses, computer science, statistics, modeling, mathematics, programming languages, and business acumen. Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop. Querying, algorithms, data engineering, natural language processing, engine recommendation, experimentation, programming, data storytelling and intelligence, predictive modeling, and machine learning. Strong knowledge of secondary data sources including syndicated sales, promotional & and marketing data, longitudinal patient-level data, and diagnostic lab data; experience with payer data. Proficiency in manipulating and extracting insights from large longitudinal data sources, such as claims, diagnostic, EMR, and other data sets. Expertise in managing and analyzing a range of large, secondary transactional databases is required. Experience with field force analytics, including customer segmentation, targeting, and promotional response measurements. Competency in navigating large volumes of information to synthesize what’s most important and actionable. High degree of creativity and sense of urgency in developing new approaches, processes, and methodologies. Strong organizational skills and time management; ability to manage a diverse range of projects simultaneously. Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships and influence without authority. Clear oral and written communication skills; including describing complex data topics in simple terms. Considerable experience with the presentation of statistical analysis results to a non-technical audience. Collaborate and partner with peers in other functions on cross-functional analytics projects and solutions. Required Technical Skills Programming: Proficiency in Python, R, SQL, and SAS. Math & Statistics: Strong foundation in statistical analysis, modeling, and quantitative research. Frameworks & BI: Familiarity with visualization tools (Tableau, Power BI) and big data platforms (Hadoop, Spark). Experience with MS Office suite. Non-Technical Skills Demonstrated ability to organize, prioritize, meet deadlines, make decisions, and change course of action quickly. Strong interpersonal and communication skills. A strong work ethic is required. Detail-oriented and excellent follow-through. Has the ability to flex and deal with ambiguity in a dynamic, fast-paced, high-growth environment. Has a passion for personal learning and development to be able to grow with the company. Cultural sensitivity and ability to develop consensus within a multinational organization. Physical Demands : Normal office environment with prolonged sitting and extensive computer work Working Conditions : Requires up to 5% domestic and international travel The anticipated salary for this position will be $160,400 to $192,800. The actual salary offered for this role at commencement of employment may vary based on several factors including but not limited to relevant experience, skill set, qualifications, education (including applicable licenses and certifications, job-based knowledge, location, and other business and organizational needs. The listed salary is just one component of the overall compensation package. At Kyowa Kirin North America we provide a comprehensive range of benefits including: 401K with company match Annual Bonus Program (Sales Bonus for Sales Jobs) Generous PTO and Holiday Schedule which includes Summer and Winter Shut-Downs, Sick Days and, Volunteer Days Healthcare Benefits (Medical, Dental, Prescription Drugs and Vision) HSA & FSA Programs Well-Being and Work/Life Programs Life & Disability Insurance Concierge Services Long Term Incentive Program (subject to job level and performance) Pet Insurance Tuition Assistance Employee Referral Awards The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. KKNA and all of its employees have an obligation to act in accordance with the law and with integrity in all our operations and interactions. It is the policy of Kyowa Kirin North America, Inc. to provide equal employment opportunity to all qualified persons without regard to race, religion, creed, color, pregnancy, sex, age, national origin, disability, genetic trait or predisposition, veteran status, marital status, sexual orientation or affection preference or citizenship status or any other category protected by law. When you apply to a job on this site, the personal data contained in your application will be collected and stored by Kyowa Kirin, Inc. (“Controller”), which is located at 510 Carnegie Center Dr. Princeton, NJ 08540 USA and can be contacted by emailing kkus.talentacquisition.8h@kyowakirin.com. Controller’s data protection officer can be contacted at usprivacyoffice@kyowakirin.com . Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of General Data Protection Regulation (EU) 2016/679 (“GDPR”) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. The transfer will be made using appropriate additional safeguards under the standard contractual clauses approved by regulators for transfers of personal data outside the European Union. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, if you are located in the European Union, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability, and to lodge a complaint with an EU supervisory authority. If you have any questions about our use of your data, you may contact us by email at usprivacyoffice@kyowakirin.com . Recruitment & Staffing Agencies Kyowa Kirin does not accept agency resumes unless contacted directly by internal Kyowa Kirin Talent Acquisition. Please do not forward resumes to Kyowa Kirin employees or any other company location; Kyowa Kirin is not responsible for any fees related to unsolicited resumes. #LI-JC1

Requirements

Must-haves

Play a key role in identifying opportunities for machine learning and business intelligence to solve unmet medical needs and support the analysis of data to generate market insights.
Create artificial intelligence (AI)/ machine learning (ML) in fracture to support key strategic initiatives.
Implement advanced analytics in support of our commercial teams, including explorative applications of machine learning, deep learning, and artificial intelligence.
Influence critical strategic business decisions by enhancing intelligence systems and predictive analytical techniques to address current and future business objectives.
Leverage advanced data integration and governance capabilities through cloud computing, and AI/ML.
Utilize machine learning to build predictive models for application in commercial initiatives.
Develop automated capabilities that enable the application of machine learning across the Company’s portfolio of medicines.
Ability to build and fine-tune algorithms that scale up from small-scale proof-of-concept stage to full production systems in a timely manner.
Communicate complex findings and insights to bother technical and non-technical stakeholders through data visualizations, reports, and presentations
At least 10 years of relevant experience, including data science, advanced statistics, and business analysis.
Strong quantitative and diverse analytical skills: exploratory data analyses, computer science, statistics, modeling, mathematics, programming languages, and business acumen.
Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
Querying, algorithms, data engineering, natural language processing, engine recommendation, experimentation, programming, data storytelling and intelligence, predictive modeling, and machine learning.
Strong knowledge of secondary data sources including syndicated sales, promotional & and marketing data, longitudinal patient-level data, and diagnostic lab data; experience with payer data.
Proficiency in manipulating and extracting insights from large longitudinal data sources, such as claims, diagnostic, EMR, and other data sets.
Expertise in managing and analyzing a range of large, secondary transactional databases is required.
Experience with field force analytics, including customer segmentation, targeting, and promotional response measurements.
Competency in navigating large volumes of information to synthesize what’s most important and actionable.
High degree of creativity and sense of urgency in developing new approaches, processes, and methodologies.
Strong organizational skills and time management; ability to manage a diverse range of projects simultaneously.
Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships and influence without authority.

Nice-to-haves

A Bachelor’s degree in Statistics, Computer Science, Economics, applied mathematics, or a related field is required. A master’s or Ph.D. degree is preferred.
Strong understanding of healthcare data & and technology; cross-industry experience in pharmaceutical, consumer, or technology industries preferred.
Annual Bonus Program (Sales Bonus for Sales Jobs)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlpythonsql

Platform: greenhouse
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Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto