OPT Quantitative Research Analyst Jobs
Quantitative Research Analyst roles are among the most OPT-friendly positions in finance and tech, with many employers accustomed to sponsoring F-1 students. STEM OPT extension eligibility is common for this role, giving you up to three years of work authorization while pursuing H-1B visa sponsorship.
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Get Access To All JobsJob Title: Quantitative Clinical Pharmacology PhD Post Graduate Fellow
Job Requisition ID: 2499
Posting Start Date: 11/3/26
At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.
Job Summary
Daiichi Sankyo’s PhD Fellowship Program offers early-career scientists a unique opportunity to launch their careers at the forefront of drug development and innovation focusing on advancing model informed drug development. The role will serve to establish PK/PD/efficacy/safety relationships in clinical settings to drive the development of potential drug candidates. This program is designed for recent PhD graduates and provides direct placement into a full-time role while offering structured development, mentorship, and visibility to leadership.
This particular PhD Fellowship will be within the TA Oncology department with a core focus on Quantitative Clinical Pharmacology.
Program Features:
- Direct Role Placement: Begin in a high-impact, business-critical role matched to your expertise
- Structured Development: Participate in tailored learning, professional skills workshops, and technical training
- Executive Exposure: Gain access to senior leaders and mentors across the organization
- Peer Network: Join a cohort of PhD associates for shared learning and community
- Career Acceleration: Build a long-term path within Daiichi Sankyo through strategic guidance and performance development
Responsibilities
- Perform modeling and simulation in support of clinical development of clinical candidates including non-compartmental analysis, population PK analysis and exposure-response analyses
- Work closely with study and indication leads within QCP to develop skills to serve as PK scientist/study lead towards the end of the fellowship
- Develop Model-Based Drug Development Plans (MBDD) and Clinical Pharmacology plans for early development candidates and work closely with QCP WG leads and non-clinical teams (non-clinical PK, translational science and pharmacology) to identify FIH dosing and early development plans
- Collaborate with advanced pharmacometrics, QSP and bioanalytical teams to advance skills related to Clinical Pharmacology
- Present findings and learnings to QCP leadership and other functions and externally as well
Qualifications
Ph.D. in Clinical Pharmacology, Non-Clinical Pharmacokinetics or Pharmacometrics
Experience in pharmacokinetic analysis including modeling and simulation and metabolism
Proficiency in WinNonLin, NONMEM, R and other relevant software
Strong analytical, problem-solving, and communication skills
Ability to work effectively in a collaborative, multidisciplinary environment
Travel Requirements
Ability to travel up to 10% of the time.
Salary Range:
USD$100,960.00 - USD$151,440.00
Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Job Title: Quantitative Clinical Pharmacology PhD Post Graduate Fellow
Job Requisition ID: 2499
Posting Start Date: 11/3/26
At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.
Job Summary
Daiichi Sankyo’s PhD Fellowship Program offers early-career scientists a unique opportunity to launch their careers at the forefront of drug development and innovation focusing on advancing model informed drug development. The role will serve to establish PK/PD/efficacy/safety relationships in clinical settings to drive the development of potential drug candidates. This program is designed for recent PhD graduates and provides direct placement into a full-time role while offering structured development, mentorship, and visibility to leadership.
This particular PhD Fellowship will be within the TA Oncology department with a core focus on Quantitative Clinical Pharmacology.
Program Features:
- Direct Role Placement: Begin in a high-impact, business-critical role matched to your expertise
- Structured Development: Participate in tailored learning, professional skills workshops, and technical training
- Executive Exposure: Gain access to senior leaders and mentors across the organization
- Peer Network: Join a cohort of PhD associates for shared learning and community
- Career Acceleration: Build a long-term path within Daiichi Sankyo through strategic guidance and performance development
Responsibilities
- Perform modeling and simulation in support of clinical development of clinical candidates including non-compartmental analysis, population PK analysis and exposure-response analyses
- Work closely with study and indication leads within QCP to develop skills to serve as PK scientist/study lead towards the end of the fellowship
- Develop Model-Based Drug Development Plans (MBDD) and Clinical Pharmacology plans for early development candidates and work closely with QCP WG leads and non-clinical teams (non-clinical PK, translational science and pharmacology) to identify FIH dosing and early development plans
- Collaborate with advanced pharmacometrics, QSP and bioanalytical teams to advance skills related to Clinical Pharmacology
- Present findings and learnings to QCP leadership and other functions and externally as well
Qualifications
Ph.D. in Clinical Pharmacology, Non-Clinical Pharmacokinetics or Pharmacometrics
Experience in pharmacokinetic analysis including modeling and simulation and metabolism
Proficiency in WinNonLin, NONMEM, R and other relevant software
Strong analytical, problem-solving, and communication skills
Ability to work effectively in a collaborative, multidisciplinary environment
Travel Requirements
Ability to travel up to 10% of the time.
Salary Range:
USD$100,960.00 - USD$151,440.00
Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
See all 748+ OPT Quantitative Research Analyst Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as a Quantitative Research Analyst
Lead with your quantitative toolkit
Employers hiring quant researchers evaluate technical skills first. Highlight specific programming languages like Python or R, statistical modeling experience, and any published research or competition results upfront. This signals you can contribute immediately, making OPT authorization feel like a minor administrative detail.
Target STEM-designated employers early
Quantitative Research Analyst roles typically fall under CIP codes that qualify for the 24-month STEM OPT extension. Confirm your degree program qualifies and focus on employers already familiar with STEM OPT, since they understand the timeline and renewal process without needing explanation from you.
Research firms by their H-1B filing history
Hedge funds, asset managers, and technology firms that regularly file H-1B visa petitions for quant roles are your strongest sponsorship prospects. Firms with established quant teams have immigration infrastructure in place, which makes transitioning from OPT to H-1B sponsorship a routine internal process rather than a new undertaking.
Address OPT timing proactively in applications
Many quant hiring cycles move quickly. If your OPT start date is several months out, mention it clearly in your cover letter. Firms can plan around a known start date but will withdraw if they discover late that authorization is delayed or uncertain.
Build a portfolio of quantitative work
Quant roles are skill-verified, not just credential-verified. A GitHub repository with backtesting models, factor research, or machine learning applications gives recruiters concrete evidence of your abilities. Strong portfolios reduce employer hesitation about OPT paperwork because the value proposition is clear and demonstrable.
Network within quant research communities
Many quant positions are filled through referrals before they reach public job boards. Engaging with academic finance groups, attending quantitative finance meetups, and connecting with professionals at firms you target increases your visibility with hiring managers who already sponsor OPT candidates regularly.
Quantitative Research Analyst OPT: Frequently Asked Questions
Does a Quantitative Research Analyst role qualify for the STEM OPT extension?
It depends on your degree, not the job title. If your bachelor's or master's degree falls under an eligible STEM CIP code, such as statistics, mathematics, financial engineering, or computer science, and the employer is E-Verify registered, you qualify for the 24-month STEM OPT extension. Most quant research roles at finance firms and technology companies meet the employer eligibility requirement.
How far in advance should I apply for Quantitative Research Analyst roles given OPT timing?
Apply three to six months before your OPT start date. Quant hiring processes often include multiple technical rounds, take-home assignments, and final interviews, which can run four to eight weeks total. Submitting your application well in advance gives you time to complete the process and align your start date with the employer's needs without rushing your DSO to expedite OPT paperwork.
Which types of employers hire Quantitative Research Analysts on OPT?
Hedge funds, proprietary trading firms, asset managers, investment banks, and technology companies with quantitative research teams are the most active hirers. Firms with established quant desks, particularly those filing H-1B petitions annually, are the best targets because they have immigration processes already in place. You can browse OPT-friendly Quantitative Research Analyst openings on Migrate Mate, which filters for employers open to sponsoring F-1 students.
Can I work as a Quantitative Research Analyst during my OPT grace period if I'm between jobs?
You cannot work during the 60-day grace period. The grace period allows you to remain in the United States to search for employment or prepare for departure, but it does not authorize active work. Any new quant research role must be covered by a valid EAD. Starting work before your EAD is issued or after it expires creates serious immigration violations.
Do Quantitative Research Analyst internships count toward OPT unemployment limits?
If the internship is paid and directly related to your degree field, it counts as authorized OPT employment and does not contribute to your unemployment day count. Unpaid internships can count too, provided the role is directly tied to your academic program and your DSO has confirmed it qualifies. Always verify with your international student office before starting any unpaid position to avoid inadvertently accumulating unauthorized unemployment days.