Takeda
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that
the information I provide in my application will be processed in line with
Takeda’s
Privacy Notice
and
Terms of Use .
I further attest that all information I submit in my employment application
is
true to the best of my knowledge. Job Description
Objective The purpose of this position is to deliver on the priorities of Global Biologics research and Biologics Engineering and Antibody Discovery organization by contributing to the discovery, optimization, and engineering of the antibody and CAR-T cells by deep mining repertoire of therapeutic antibodies using NGS to accelerate programs to IND. Accountabilities: Develop and implement robust pipelines for analyzing large-scale bulk and single B-cell sequencing datasets for biologics discovery workflows, including QC, annotation, prioritization, and reporting of heavy and light chain/VHH sequences. Improve antibody screening and in silico analysis workflows by implementing standard automated protocols for the antibody curation, annotation, and interpretation of large antibody-specific datasets Lead the biologics discovery campaigns using well-designed, and optimized bioinformatics workflows to accelerate therapeutic discovery by analyzing sequencing datasets from various sources, such as immunization and selection campaigns. Propose a rationale library design strategy based on the antibody selection output to further affinity mature and optimize biologics. Advance antibody sequences from
in vitro ( yeast and phage ),
in vivo
(single/bulk B cells/VHH) or
de novo
(AI-based) platforms with the goal to deeply interrogate repertoires, expand functional sequence diversit,y and affinity to accelerate the lead discovery. Collaborate with cross-functional teams to integrate sequencing data with other data generated from antibody discovery engine Ability to use AWS and HCP infrastructure for additional compute needs Use Docker and GitHub for reproducibility of workflow and version control, respectively Develop UI to seamlessly integrate flow of sequencing data from various discovery platforms and relevant information Meet established timelines, maintain accurate records of work, and present data at team, departmental, and company-wide meetings Education & Competencies (Technical and Behavioral): Education: BS, MS, or PhD in a relevant scientific field Experience: If BS, then 11+ years. If MS, then 9+ years. If PhD, then 2-3 years of previous work experience A strong background in computational biology and scientific programming languages (R/Python) In-depth experience analyzing NGS data, including B-cell receptor and antibody repertoire sequencing data and selection data from antibody surface display Deep overall understanding of in vivo and in vitro antibody discovery platforms Minimum 2 years of industry experience in hands-on NGS data analysis (RNAseq /scRNAseq) utilizing custom workflows and pipelines. Demonstrated ability to write, test, automate, and benchmark computational pipeline tools with a focus towards biologics discovery. Experience with
AI/ML and deep learning-based methodology is a plus. Takeda Compensation and Benefits Summary We understand compensation is
an important factor
as you consider the next step in your career. We are committed to
equitable
pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA
U.S. Base Salary Range: $111,800.00 - $175,670.00
The estimated salary range reflects
an anticipated
range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education
attained
, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.
The actual base salary offered will be
in accordance with
state or local minimum wage requirements for the job location. U.S. based
e
mployee
s
may be eligible for
s
hort
-
t
erm and/
or
l
ong-
t
erm
incentive
s
.
U.S.
based employees
may be
eligible to
participate
in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and
well-being
benefits, among others. U.S.
based employees are also eligible to receive, per calendar year, up to
80 hours
of sick time, and new hires are eligible to
accrue
up to
120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations
Boston, MA
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
Job Exempt YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #J-18808-Ljbffr
the information I provide in my application will be processed in line with
Takeda’s
Privacy Notice
and
Terms of Use .
I further attest that all information I submit in my employment application
is
true to the best of my knowledge. Job Description
Objective The purpose of this position is to deliver on the priorities of Global Biologics research and Biologics Engineering and Antibody Discovery organization by contributing to the discovery, optimization, and engineering of the antibody and CAR-T cells by deep mining repertoire of therapeutic antibodies using NGS to accelerate programs to IND. Accountabilities: Develop and implement robust pipelines for analyzing large-scale bulk and single B-cell sequencing datasets for biologics discovery workflows, including QC, annotation, prioritization, and reporting of heavy and light chain/VHH sequences. Improve antibody screening and in silico analysis workflows by implementing standard automated protocols for the antibody curation, annotation, and interpretation of large antibody-specific datasets Lead the biologics discovery campaigns using well-designed, and optimized bioinformatics workflows to accelerate therapeutic discovery by analyzing sequencing datasets from various sources, such as immunization and selection campaigns. Propose a rationale library design strategy based on the antibody selection output to further affinity mature and optimize biologics. Advance antibody sequences from
in vitro ( yeast and phage ),
in vivo
(single/bulk B cells/VHH) or
de novo
(AI-based) platforms with the goal to deeply interrogate repertoires, expand functional sequence diversit,y and affinity to accelerate the lead discovery. Collaborate with cross-functional teams to integrate sequencing data with other data generated from antibody discovery engine Ability to use AWS and HCP infrastructure for additional compute needs Use Docker and GitHub for reproducibility of workflow and version control, respectively Develop UI to seamlessly integrate flow of sequencing data from various discovery platforms and relevant information Meet established timelines, maintain accurate records of work, and present data at team, departmental, and company-wide meetings Education & Competencies (Technical and Behavioral): Education: BS, MS, or PhD in a relevant scientific field Experience: If BS, then 11+ years. If MS, then 9+ years. If PhD, then 2-3 years of previous work experience A strong background in computational biology and scientific programming languages (R/Python) In-depth experience analyzing NGS data, including B-cell receptor and antibody repertoire sequencing data and selection data from antibody surface display Deep overall understanding of in vivo and in vitro antibody discovery platforms Minimum 2 years of industry experience in hands-on NGS data analysis (RNAseq /scRNAseq) utilizing custom workflows and pipelines. Demonstrated ability to write, test, automate, and benchmark computational pipeline tools with a focus towards biologics discovery. Experience with
AI/ML and deep learning-based methodology is a plus. Takeda Compensation and Benefits Summary We understand compensation is
an important factor
as you consider the next step in your career. We are committed to
equitable
pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA
U.S. Base Salary Range: $111,800.00 - $175,670.00
The estimated salary range reflects
an anticipated
range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education
attained
, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.
The actual base salary offered will be
in accordance with
state or local minimum wage requirements for the job location. U.S. based
e
mployee
s
may be eligible for
s
hort
-
t
erm and/
or
l
ong-
t
erm
incentive
s
.
U.S.
based employees
may be
eligible to
participate
in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and
well-being
benefits, among others. U.S.
based employees are also eligible to receive, per calendar year, up to
80 hours
of sick time, and new hires are eligible to
accrue
up to
120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations
Boston, MA
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time
Job Exempt YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #J-18808-Ljbffr