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Internship Python Quant Jobs in Woodbury, NJ (NOW HIRING)

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Internship Python Quant information

What is an internship Python quant?

An Internship Python Quant is a student or recent graduate position that focuses on quantitative analysis in fields like finance, trading, or data science, using Python as the primary programming language. Interns in this role typically work on tasks such as data analysis, model development, and algorithmic trading strategies, often supporting senior quantitative analysts or researchers. The position helps interns gain hands-on experience with financial data, statistical modeling, and the application of Python programming to solve real-world quantitative problems.

What types of projects can an internship Python quant expect to work on, and how do these contribute to professional development?

As an Internship Python Quant, you can expect to work on data analysis, financial modeling, and algorithm development projects that support trading strategies or risk management. These projects often involve cleaning and analyzing large datasets, implementing statistical models, and automating reporting processes using Python. Collaborating closely with senior quants and traders, you'll gain practical exposure to real-world finance problems and enhance your coding, analytical, and communication skills—an excellent foundation for a future full-time quant role.

What are the key skills and qualifications needed to thrive as an internship Python quant, and why are they important?

To thrive as an Internship Python Quant, you need strong quantitative and analytical skills, foundational knowledge in mathematics or finance, and proficiency in Python programming. Familiarity with data analysis libraries (such as NumPy, pandas, and matplotlib), version control systems like Git, and experience with financial modeling tools are typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing accurate quantitative models and delivering actionable insights in a fast-paced financial environment.

What is the difference between Internship Python Quant vs Quantitative Analyst?

AspectInternship Python QuantQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or computer scienceBachelor's or master's in finance, mathematics, or related fields; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, responsible for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Common Search & ComparisonYesYes

The Internship Python Quant is an entry-level position focused on learning and supporting quantitative trading strategies using Python. In contrast, a Quantitative Analyst is a full-time professional responsible for developing and implementing complex models for trading and risk management. The internship provides foundational experience, while the analyst role involves greater responsibility and expertise.

Is a Python internship worth it?

A Python internship provides practical experience in programming, data analysis, and scripting, which can enhance a candidate's skills and employability in tech roles. It often offers exposure to real-world projects, networking opportunities, and a pathway to full-time positions in data science, software development, or quantitative analysis.

Senior Biostatistician

Madrigal Pharmaceuticals

Conshohocken, PA • Hybrid

$150K - $182K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

Madrigal is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, need for liver transplantation and premature mortality. Every member of our Madrigal team is connected by our shared purpose: leading the fight against MASH.

Madrigal's medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR- agonist designed to target key underlying causes of MASH. Rezdiffra is the first and only medication approved by both the FDA and European Commission for the treatment of MASH with moderate to advanced fibrosis (F2 to F3). An ongoing Phase 3 outcomes trial is evaluating Rezdiffra for the treatment of compensated MASH cirrhosis (F4c).

Our success is driven by our people. We are building a dynamic, inclusive, and high-performing culture that values scientific excellence, operational rigor, and collaboration. To support our continued growth, we are strengthening our workforce strategy to ensure we have the right talent, at the right time, in the right way.

Madrigal Pharmaceuticals is a biopharmaceutical company delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, and premature mortality. Our medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR- agonist designed to target F2/F3 MASH.

The Senior Biostatistician is an individual contributor working across biostatistics, translational development, and data science. The role supports biostatistical activities in clinical development - with a focus on early development (Phase IIa) and in causal inference using real-world data - and contributes to biomarker development, statistical modeling, and analysis of high-dimensional data. Title and scope are commensurate with experience. Reports to the VP of Biostatistics.

Responsibilities

  • Develop and apply statistical and machine-learning models to high-dimensional data to support biomarker strategy and clinical evidence generation.
  • Work with multi-omic profiling, PK/PD biomarkers, and biobank- or EHR-linked genomic data
  • Ability to apply human genetics methods (e.g., GWAS, polygenic risk scores, sequencing) to inform translational strategy is a plus.
  • Generate real-world evidence from observational data and apply causal-inference methods to draw robust conclusions from non-randomized studies.
  • Support the design and analysis of clinical trials and real-world data (claims, EHR, registries); contribute to protocols and Statistical Analysis Plans.
  • Partner across translational science, early clinical research, Real-World Evidence generation, and contribute to publications and conferences.

Qualifications

  • Ph.D. in (Bio)statistics, Statistics, Data Science, or a related quantitative field, with at least 2 years of relevant experience (or equivalent internship, co-op, or postdoctoral research). Ideal candidates will have between 3-5 years of relevant work experience. Level may be commensurate with experience.
  • Proficiency in R and SAS, with working knowledge of Python and machine-learning libraries (scikit-learn, PyTorch, TensorFlow).
  • Building data pipelines that transform high-dimensional and real-world datasets into analysis-ready form.
  • Ability to communicate complex analyses to non-statisticians and influence decisions across scientific and clinical teams.
  • Experience with real-world data sources and knowledge of regulatory guidelines a plus.
  • Familiarity with multi-omic and PK/PD biomarker data and with biobank- or EHR-linked genomic datasets a plus.

Location

This is a hybrid role based in Conshohocken, PA - three days per week in the office and two days remote. Some travel may be required (< 10%).

Madrigal's Total Rewards strategy is based on a biotech industry peer group comparator and is inclusive of base pay, bonus and equity. Our equity offers meaningful opportunity allowing our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization.

All employees receive equity, which we believe reinforces our ownership culture. Base salary is determined by several factors including the candidate's qualifications, skills, education, experience, business needs and market demands. As of the date of this posting, a good faith estimate of the current pay scale for this position, applicable to all candidates, is $150,000 - $182,500 per year. We comply with all applicable minimum wage laws.

All full-time employees receive equity, which reinforces our ownership culture and offers meaningful opportunity for our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization.

Full-time employees are also eligible for comprehensive benefits, including flexible paid time off, medical, dental, vision and life/disability insurance, and 401(k) offerings (i.e., traditional, Roth, and employer match) in accordance with applicable plans. We also offer additional voluntary benefits like supplemental life insurance, legal services, and other offerings. In addition, we offer mental health benefits through our Employee Assistance Program for employees and their family. The company also provides other benefits in accordance with applicable federal, state, and local laws.

We are committed to providing reasonable accommodations for individuals with disabilities throughout the hiring process. If you need assistance, please contact HR@madrigalpharma.com.

Madrigal is an Equal Opportunity Employer. All employment is decided on the basis of qualifications, merit, and business need. Applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex gender identity, sexual orientation, national origin, age, disability, protected veteran or disabled status, or other characteristic protected by applicable federal, state, or local law.

Unsolicited resumes from agencies should not be forwarded to Madrigal. Madrigal will not be responsible for any fees arising from the use of resumes through this source. Madrigal will only pay a fee to agencies if a formal agreement between Madrigal and the agency has been established.

Applications are being accepted on an ongoing basis and can be submitted through our Madrigal Careers site.

Please be aware that we have received reports of individuals misrepresenting themselves as Madrigal Pharmaceuticals' Hiring Managers, seeking to engage with job candidates through fraudulent online advertisements or job posting sites. These unauthorized individuals are using Madrigal's name and logo in an attempt to solicit up-front fees and obtain personal information from interested job candidates. Please know that Madrigal does not conduct interviews via text or in chat rooms; conduct interviews via Skype, RingCentral or solely via telephone; charge candidates an advance fee of any kind (e.g., fees for purchasing equipment); nor does it offer positions of employment without undergoing a thorough recruiting process.

Please also note that any correspondence with regard to employment would come from an authorized madrigalpharma.com email address or from an email address from one of our trusted search firm partners. We are aware that incorrect/fraudulent email addresses, with Madrigal misspelled, have been utilized in these most recent fraud attempts. If you receive unsolicited employment offers from people claiming to work for or on behalf of Madrigal, we recommend that you: do not respond to their questions; do not open any attachments; and do not click on any hyperlinks. Any questions regarding the legitimacy of job-related contacts can be directed to HR@madrigalpharma.com.