AeroLeads people directory · profile
Jun Meng Email & Phone Number
Clinical Data Scientist & molecular biologist, Programmer | Python, SQL, R, SAS
at
Invitae
1 work email found
@invitae.com
3 phones found area 706
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Current company
Role
Clinical Data Scientist & molecular biologist, Programmer | Python, SQL, R, SAS
Location
Burlingame, California, United States
Company size
Who is Jun Meng? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Jun Meng is listed as Clinical Data Scientist & molecular biologist, Programmer | Python, SQL, R, SAS at Invitae, a with 837 employees, based in Burlingame, California, United States. AeroLeads shows a work email signal at invitae.com, phone signal with area code 706, and a matched LinkedIn profile for Jun Meng.
Jun Meng previously worked as Clinical System Analyst at Invitae and Data Analyst at Invitae. Jun Meng holds Ms In Statistics, Statistics from Fox School Of Business At Temple University.
Company email context
Email format at Invitae
This section adds company-level context without repeating Jun Meng's masked contact details.
{first}.{last}@invitae.com
89% confidence
AeroLeads found 1 current-domain work email signal for Jun Meng. Compare company email patterns before reaching out.
Profile bio
About Jun Meng
Business professional with a wide breadth of data analysis experience. 10+ years of analytical and research expertise on real experimental and retail data. In-depth knowledge in Business Analytics, Data management, Statistical Analysis, and Machine Learning knowledge.
Listed skills include Bioinformatics, Genomics, Statistics, Data Analysis, and 42 others.
Current workplace
Jun Meng's current company
Company context helps verify the profile and gives searchers a useful next step.
Invitae
8 roles
Jun Meng work experience
A career timeline built from the work history available for this profile.
Clinical System Analyst
Current
Jan 2022 - Present
Data Analyst
Jun 2021 - Aug 2022
Health Data Fellow At Insight Data Science
1. Consulted for Cutaneous Oncology Research Lab to develop a model and web app to support clinicians to counsel patients on treatment.2. Utilized logistic regression with feature engineering to predict the possibility of Melanoma, achieving accuracy and precision of 90%3. Constructed web app with flask and deployed at AWS: http://www.cancergenomics.xyz/
May 2020 - Jun 2021
Business/Data Analyst
Select-A-Vision
• Developed a dashboard reporting system by sql and Tableau to support product and sales teams to track weekly and monthly sales performanceImplemented ARIMA forecasting model in Python to predict the sales to support ordering and operation team to make inventory plans. Implemented an automatic report system in sql and python to support the warehouse to keep the integrity of the inventory.
Jul 2018 - May 2020
Graduate Student
• Used time series method to analyze IBM and NKTR stock, including intervention/outlier analysis, root test, build ARIMA model, GARCH model and forecast future stock price• Performed full-scope data cleansing and manipulation on unsecured personal loan portfolio of lending club (63920 records with 74 features), selected featrues by kolmogorov filter, used random forest model to predict loan status migration (recall ratio: 92%)• Linear mix model to analysis longitudinal data• Performed volume price model to screen possible reversal stocks, and construct trading strategy
Aug 2016 - 2018
Postdoctoral Researcher
• Developed gene clustering and bioinformatic blasting pipeline to identify nutrient related functional genes and classify/ visualize microbial profiles by PCA, t-test, ANOVA etc.• Developed gene clustering methodology to classify essential/non-essential genes and high-fitness genes by the detected count number of expression level.• Statistical model to predict the relationship between transporter and surrounding environment by categorical data analysis
Aug 2010 - Feb 2014
Graduate Research Assistant
Discovered novel microbial genetic resources in extreme environments by metagenomic and microarray and found a novel uncultured microbiological cluster with unique genetic information. Identified gene expression signatures associated with nutrient circulation in extremophiles using RNA sequencing and clustering Identify and characterize new protein function using heterogeneous protein expression, Western Blot and RT-PCR
Sep 2004 - Feb 2010
Team & coworkers
Colleagues at Invitae
Other employees you can reach at invitae.com. View company contacts for 837 employees →
NL
Nathan Louie
Colleague at InvitaeSan Francisco, California, United States
View →
EL
Elizabeth Lund
Colleague at InvitaeMilwaukee, Wisconsin, United States
View →
KC
Kendall Caha
Colleague at InvitaeRancho Santa Margarita, California, United States
View →
AK
Agnieszka Kukawska
Colleague at InvitaeToruń, Kujawsko-Pomorskie, Poland
View →
NG
Nicole Gulley
Colleague at InvitaeMiami-Fort Lauderdale Area, United States
View →
JZ
James Zhe Wang, Phd
Colleague at InvitaeWashington Dc-Baltimore Area, United States
View →
HB
Heather Buttles
Colleague at InvitaeBullard, Texas, United States
View →
YR
Yvonne R.
Colleague at InvitaeSan Francisco, California, United States
View →
ES
Evan Shi
Colleague at InvitaeSan Francisco, California, United States
View →
CL
Claire Liechti
Colleague at InvitaeSan Francisco, California, United States
View →
Nathan Louie
Colleague at InvitaeSan Francisco, California, United States
View →
EL
Elizabeth Lund
Colleague at InvitaeMilwaukee, Wisconsin, United States
View →
KC
Kendall Caha
Colleague at InvitaeRancho Santa Margarita, California, United States
View →
AK
Agnieszka Kukawska
Colleague at InvitaeToruń, Kujawsko-Pomorskie, Poland
View →
NG
Nicole Gulley
Colleague at InvitaeMiami-Fort Lauderdale Area, United States
View →
JZ
James Zhe Wang, Phd
Colleague at InvitaeWashington Dc-Baltimore Area, United States
View →
HB
Heather Buttles
Colleague at InvitaeBullard, Texas, United States
View →
YR
Yvonne R.
Colleague at InvitaeSan Francisco, California, United States
View →
ES
Evan Shi
Colleague at InvitaeSan Francisco, California, United States
View →
CL
Claire Liechti
Colleague at InvitaeSan Francisco, California, United States
View →
2 education records
Jun Meng education
Ms In Statistics, Statistics
Fox School Of Business At Temple University
Doctor Of Philosophy - Phd, Microbiology
Xiamen University
FAQ
Frequently asked questions about Jun Meng
Quick answers generated from the profile data available on this page.
What company does Jun Meng work for?
Jun Meng works for Invitae.
What is Jun Meng's role at Invitae?
Jun Meng is listed as Clinical Data Scientist & molecular biologist, Programmer | Python, SQL, R, SAS at Invitae.
What is Jun Meng's email address?
AeroLeads has found 1 work email signal at @invitae.com for Jun Meng at Invitae.
What is Jun Meng's phone number?
AeroLeads has found 3 phone signal(s) with area code 706 for Jun Meng at Invitae.
Where is Jun Meng based?
Jun Meng is based in Burlingame, California, United States while working with Invitae.
What companies has Jun Meng worked for?
Jun Meng has worked for Invitae, Insight Data Science, Select-A-Vision, Fox School Of Business At Temple University, and University Of Georgia.
Who are Jun Meng's colleagues at Invitae?
Jun Meng's colleagues at Invitae include Nathan Louie, Elizabeth Lund, Kendall Caha, Agnieszka Kukawska, and Nicole Gulley.
How can I contact Jun Meng?
You can use AeroLeads to view verified contact signals for Jun Meng at Invitae, including work email, phone, and LinkedIn data when available.
What schools did Jun Meng attend?
Jun Meng holds Ms In Statistics, Statistics from Fox School Of Business At Temple University.
What skills is Jun Meng known for?
Jun Meng is listed with skills including Bioinformatics, Genomics, Statistics, Data Analysis, Machine Learning, Python Programming, Sas Programming, and Biostatistics.
Find 750M verified contacts
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial