Senior Staff Engineer, Modeling Position Available In Suffolk, Massachusetts

Job Description:

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OBJECTIVE

SyntheticMolecule Process Development (SMPD) is responsible for developingrobust, cost-effective processes for new small-moleculepharmaceuticals, including methods to achieve and control highstandards of crystal form, particle size distribution (PSD), andproduct quality. The Senior Staff Engineer

• Crystallization &Particle Engineering (Modeling) will join a dynamic and innovativeteam of engineers and scientists within SMPD’s Process Engineering& Technology Group.

The successful candidate will have a strongbackground in crystallization process development and populationbalance modeling (PBM). They will lead and tackle challengingproblems in particle engineering by leveraging expertise incrystallization kinetics, mass/heat transfer, mathematicalmodeling, and crystallization design. Additionally, the SeniorStaff Engineer will establish scale-up and scale-down models forcrystallization operations, using both first-principle anddata-driven approaches. The role includes the application ofprocess analytical technologies (PAT) combined with mathematicalmodels (both statistical and first principle) to enhance processunderstanding. This in turn will enable effective development,optimization, scale-up, and troubleshooting of crystallizationprocesses using in-silico approaches.

ACCOUNTABILITIES

Leads andcontributes to the design, development, optimization, and scale-upof crystallization processes for synthetic molecule drugsubstances, leveraging advanced modeling, simulation, andpopulation balance modeling approaches. Develops, implements, andvalidates predictive crystallization models (mechanistic,data-based or hybrid) to predict and control particle sizedistribution, morphology, purity, and polymorphic form. Designs andexecutes experimental workflows, integrating in-line and off-lineprocess analytical technologies (PAT), for data-rich modeldevelopment and verification. Collaborates cross-functionally withAutomation, Manufacturing, Process Engineering, and analyticalexperts to develop and deploy digital twins for crystallization andparticle engineering processes. Drives adoption of an “in-silicofirst” approach, recommending, justifying, and implementing robustcrystallization modeling tools and workflows across theorganization. Provides expert technical leadership within thecrystallization modeling domain, influencing strategic directionand independently resolving complex technical issues throughpredictive modeling. Reviews, interprets, and communicates modelingoutcomes and experimental data to multidisciplinary teams andstakeholders to support informed decision-making and processimprovements. Authors technical reports, validation documents,regulatory filings, and peer-reviewed manuscripts related tocrystallization modeling and particle engineering methodologies.

Maintains awareness of emerging trends and tools in crystallizationmodeling, proactively identifies relevant vendor solutions, andactively participates in academic and industry collaborations toadvance modeling capabilities. Champions knowledge-sharing anddemocratization of crystallization modeling and simulationmethodologies, providing training and guidance to support broadertechnical capability building across the department and globalorganization.

EDUCATION, EXPERIENCE AND SKILLS

Education andExperience:

Required:

Ph.D. or postdoctoral fellowship in ChemicalEngineering or a related pharmaceutical science with 3 years ofrelevant industry experience. Strong knowledge and understanding ofcrystallization, filtration, drying processes, with proven abilityto demonstrate skills in these fields. Strong knowledge andunderstanding of transport phenomena and thermodynamics. Extendedexperience with commercially available crystallization and particleengineering modeling software such as gPROMS, Aspen, Ansys, orDynochem. Extended experience with commercially available softwarefor computational fluid dynamics (CFD) modeling such as Ansys, StarCCM, MStar CFD. Proficient in communicating and data collectionfrom systems such as sensors, controllers, and industrial systems.

Experience, with Matlab, Python, R, SQL, and good coding practices.

Preferred:

Experience with common statistical methods, basic datascience principles, and AI/ML methodologies. Hands-on experience inwet lab process development. Experience in multivariate analysisand Principal Component Analysis (PCA). Understanding of syntheticmolecule process development activities. Understanding of currentGood Manufacturing Practices (cGMP).

Knowledge and Skills:

Analytical and Problem Solving Skills

• Able to troubleshootcritical issues or problems, and determine causes and possiblesolutions Teamwork Ability to work well in highly cross functionalteam environment and across global line functions. CommunicationSkills
• Able to expresses one’s self clearly and concisely withinteam; documents issues and/or concerns concisely with colleagues;adjusts communication style as appropriate for the audience; timelyand effectively communicates issues to supervisor; technicalwriting skills to support authorship of internal technicaldocuments Organization
• Exercises good time management andprioritization skills and is able to successfully manage multipletasks simultaneously Knowledge Sharing
• Ability to captureorganizational knowledge; improve solutions, processes, anddeliverables through use of information; improve informationcapital by contributing experience, theories, deliverables, andmodels for others to use Resource Management
• Ability to manageone’s time within individual, departmental, and corporate goals andtimelines; management of internal and external resources (vendors)External Involvement
• Demonstrated involvement in professionalcommunity evidenced by presentation of scientific posters orlectures at professional conferences or events Technical
• Subjectmatter expertise and knowledge of applicable process modeling andsimulation tools Takeda Compensation and Benefits Summary Weunderstand compensation is an important factor as you consider thenext step in your career.

We are committed to equitable pay for allemployees, and we strive to be more transparent with our paypractices.

For Location:

Boston, MA U.S.

Base Salary Range:

$137,000.00

• $215,270.

00 The estimated salary range reflects ananticipated range for this position. The actual base salary offeredmay depend on a variety of factors, including the qualifications ofthe individual applicant for the position, years of relevantexperience, specific and unique skills, level of educationattained, certifications or other professional licenses held, andthe location in which the applicant lives and/or from which theywill be performing the job.

The actual base salary offered will bein accordance with state or local minimum wage requirements for thejob location. U.S. based employees may be eligible for short-termand/or long-termincentives. U.S.based employees may be eligible toparticipate in medical, dental, vision insurance, a 401(k) plan andcompany match, short-term and long-term disability coverage, basiclife insurance, a tuition reimbursement program, paid volunteertime off, company holidays, and well-being benefits, among others.

U.S.based employees are also eligible to receive, per calendaryear, up to 80 hours of sick time, and new hires are eligible toaccrue up to 120 hours of paid vacation. EEO Statement Takeda isproud in its commitment to creating a diverse workforce andproviding equal employment opportunities to all employees andapplicants for employment without regard to race, color, religion,sex, sexual orientation, gender identity, gender expression,parental status, national origin, age, disability, citizenshipstatus, genetic information or characteristics, marital status,status as a Vietnam era veteran, special disabled veteran, or otherprotected veteran in accordance with applicable federal, state andlocal laws, and any other characteristic protected by law.

Locations Boston, MA Worker Type Employee Worker Sub-Type RegularTime Type Full time Job Exempt Yes It is unlawful in Massachusettsto require or administer a lie detector test as a condition ofemployment or continued employment. An employer who violates thislaw shall be subject to criminal penalties and civil liability.