drjobs Postdoctoral Researcher Chemical Engineering and Materials Science

Postdoctoral Researcher Chemical Engineering and Materials Science

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1 Vacancy
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Job Location drjobs

Hoboken, NJ - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Description

Location: Stevens Institute of Technology Hoboken NJ
Principal Investigator: Prof. PinKuang Lai
Position Type: Fulltime 1year appointment (renewable depending on funding and performance)

Project Overview:

This position is supported by an industryfunded research collaboration between Stevens Institute of Technology and Janssen Research & Development LLC. The project Next Generation Viscosity Prediction for Molecular Liability Reduction and MultiParameter Optimization Development focuses on building machine learning models and coarsegrained simulations to predict concentrationdependent viscosity behavior of therapeutic monoclonal antibodies (mAbs) based on empirical and insilico features.

Key Responsibilities:

  • Lead the development and benchmarking of machine learning models (regression/classification) to predict mAb viscosity at various concentrations.

  • Perform molecular dynamics (MD) simulations to compute spatial charge maps (SCM) spatial aggregation propensity (SAP) solventaccessible surface areas (SASA) and other structural descriptors.

  • Develop and implement feature engineering pipelines for protein sequences and structures including integration of Rosetta and Schrdingerderived features.

  • Construct and validate coarsegrained (CG) molecular models with hydrodynamic calculations to predict viscosity curves across concentration ranges.

  • Collaborate closely with Janssens Computational Structural Engineering (CSE) and Biophysics teams through biweekly meetings.

  • Prepare detailed project reports including a sixmonth interim report and a final report for deliverables.

  • Assist with manuscript preparation and publication of coauthored research results.

Qualifications:

Required:

  • Ph.D. in Chemical Engineering Bioengineering Computational Biophysics Structural Biology or a related field.

  • Experience with molecular simulations (e.g. GROMACS AMBER NAMD) and coarsegrained modeling of biomolecules.

  • Strong programming skills in Python and proficiency with machine learning libraries such as scikitlearn PyTorch or TensorFlow.

  • Familiarity with protein structure analysis homology modeling and sequencestructure feature generation.

  • Excellent written and verbal communication skills and ability to work independently and collaboratively.

Preferred:

  • Experience with GPUaccelerated simulations and access to highperformance computing clusters.

  • Background in biopharmaceutical formulation development particularly mAb viscosity prediction or proteinprotein interactions.

  • Demonstrated track record of peerreviewed publications in relevant fields.

Application Instructions:

Interested candidates should send the following materials to Prof. PinKuang Lai at :

  • Cover letter detailing research interests and alignment with the project

  • Curriculum Vitae (CV)

  • Names and contact information for 23 references

  • Links to relevant publications or software/code repositories (if available)

Department

Chemical Engineering and Material Science

General Submission Guidelines:

Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job.

Still Have Questions

If you have any questions regarding your application please contact .

EEO Statement:

Stevens Institute of Technology is an Equal Opportunity Employer. Accordingly Stevens adheres to an employment policy that prohibits discriminatory practices or harassment against candidates or employees based on legally impermissible factor(s) including but not necessarily limited to race color religion creed sex national origin nationality citizenship status age ancestry marital or domestic partnership or civil union status familial status affectional or sexual orientation gender identity or expression atypical cellular or blood trait genetic information pregnancy or pregnancyrelated medical conditions disability or any protected military or veteran status.

Employment Type

Full-Time

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